Post on 14-Oct-2020
Can-Trace is funded in part under the Agricultural Policy Framework, a federal-provincial-territorial initiative managed by Agriculture andAgri-Food Canada.
Can-Trace
Integration Guidelines
Final Report April 2006
Can-Trace Integration Guidelines
Final Report
Prepared by: Michael Miskin, Merit-Trax Technologies Inc.Date: April 2006
Can-Trace Integration Guidelines April 2006 - 3 -
Can-Trace Integration Guidelines April 2006 - 5 -
Table of Contents
1. Introduction ............................................................................................................................................. 1
2. Can-Trace Standard - Objectives and Functional Requirements .................................................................... 5
3. Survey Questionnaire Description............................................................................................................... 7
4. Survey Methodology ................................................................................................................................. 7
5. Participating Programs .............................................................................................................................. 8
6. Can-Trace GAP Survey Results ................................................................................................................. 10
7. Discussion of GAP Survey Results by Program........................................................................................... 14
8. Conclusions and Recommendations.......................................................................................................... 30
Appendix A. Summary of the Canadian Food Traceability Data Standard Version 1.0 ....................................... 34
Appendix B. Survey Questionnaire ............................................................................................................... 42
Appendix C. Survey Results ......................................................................................................................... 57
Can-Trace Integration Guidelines April 2006
1. Introduction:
The intention of the Can-Trace Integration Guidelines report is to provide assistance to enable the seamlessintegration of the mandatory Can-Trace data elements into the traceability requirements of existing on and off farmprograms pertaining to, but not exclusively restricted to:
• Food safety• Food quality• Animal health• Plant health• Organics• Environmental management.
The Integration Guidelines Working Group identified a select number of programs to be reviewed by the consultantin order to assess the opportunity and methodology for integrating the mandatory data elements in the Can-Trace“Canadian Food Traceability Data Standard Version 1.0” (CFTDS v 1.0) with the traceability elements in theprograms under review. The focus is on what information needs to be exchanged to ensure the traceability link ismaintained, not the technology associated with how that information should be exchanged.
In preliminary conference calls the working group agreed with the consultant that the review would be conductedby means of a survey questionnaire which would be used to identify the gaps between the Can-Trace Mandatorydata elements and an individual food safety/food quality/animal health/plant health program’s traceability dataelements.
The working group also accepted the consultant’s recommendation to benchmark the proposed survey questionswith two or three programs, as the first step in the project work plan. The consultant prepared a preliminary reporton the benchmark surveys, which was formally discussed by the group at a meeting held on September 7, 2005.At this meeting and in accordance with the project work plan, the working group and the consultant defined boththe final version of the survey questionnaire and the report deliverables.
The results of the preliminary benchmark surveys indicated that gaps do exist and that the opportunity to integratethe Can-Trace mandatory data elements will probably require modifications to the Can-Trace Standard. Threeimportant facts emerged from the preliminary benchmark surveys:
a) A program implements traceability in order to achieve specific objectives. These objectives can themselvesrepresent a gap or can be the underlying reason that data element gaps exist. The functional requirementsof a program and the traceability functions of its data elements are based on these objectives.
b) A program’s traceability objective may be to satisfy the functional requirement to have a processcertified. This fact in itself represents a gap, since the program may not have a data standard.
c) The opportunity for implementation of the Can-Trace Standard in traceability programs does exist, if themandatory data elements in the Can-Trace CFTDS v 1.0 can be modified to accommodate the objectives,functional requirements and traceability functions of the data elements required by theprograms.
- 6 -
The traceability function of a data element refers to its generic traceability identifier. There are three generictraceability identifiers (Product, Party and Location) which are described in the CFTDS v 1.0 and which are referredto as the “basic elements of traceability”. In the survey questionnaire and elsewhere in this report the author usesthe term “traceability function” to refer to these generic traceability identifiers. The author uses the term“functional requirement” to describe the data collection, storage and sharing issues which a program must considerin order to meet its traceability objectives.
With respect to the programs’ traceability objectives, functional requirements and traceability functions (basicelements of traceability), the final set of survey results indicates that:
a) The CFTDS v 1.0 has a downstream supply chain perspective, where product is identified in boxes or bags(trade units) and is stored and shipped on pallets (logistical units). The Product Identifier is considered to be aMaster Data Type (information that seldom changes). The on farm food safety and animal health programs areupstream value chain oriented as opposed to downstream supply chain oriented. Upstream Product Identifiers(pre box and pallet) have the functional requirement to preserve the identity of products that arestored and shipped in bulk. This creates a challenge to the seamless integration of the Can-Trace dataelements, specifically where there are more identifiers required than the CFTDS v 1.0 allows for, and the ProductIdentifiers are Transactional Data Types (information that changes per transaction). The Product Identifiers notonly vary with each transaction, but can vary from link to link in the chain, including during transport, where theProduct Identifier is the identifier of the container or storage device and/or the vehicle which is transporting thecontainer.
b) The CFTDS v 1.0 uses the one link up/one link down model of sharing traceability information between parties.Some of the on farm food safety and animal health programs in the livestock sector do not. They have afunctional requirement to use a central database or registry. In some cases the livestock modelrequires these central databases to share information with one another. The central database model createsa challenge to the seamless integration of the Can-Trace data elements relative to how the information is tobe kept (stored) and shared (exchanged).
c) The programs in the livestock sector are concerned with animal health issues and have a functionalrequirement to track animal movements to a degree of precision that goes beyond thetraceability functions of the Mandatory Data Elements in the CFTDS v 1.0. Vehicle of ConveyanceIdentification and Date/Time data elements are required in the livestock sector. Furthermore in many instancesof animal movement, the Buyer and Vendor Identifiers are irrelevant, it is the Premises Identifier and relatedContact Information that are relevant.
d) The CFTDS v 1.0 has a downstream supply chain perspective, where the primary objective is product recallfor food safety. The CFTDS v 1.0 Mandatory Data Elements deal with three basic elements of traceability(Party, Product and Location Identification). The Shipment Identifier is one of the eight Mandatory DataElements in the CFTDS v 1.0. However it only serves the traceability function of being a pointer to where therelevant shipment data elements are kept (stored). The functional requirements of the on farm food safetyand animal health programs which require transactional Product Identifiers and precision Shipment Identifiersindicate that the three basic elements of traceability on which the CFTDS v 1.0 is based are not sufficient forthe seamless integration of the CFTDS v 1.0. There is a fourth basic element of traceability that must beconsidered, which is Shipment Identification.
Can-Trace Integration Guidelines April 2006 - 7 -
Can-Trace Integration Guidelines April 2006
Based upon the results of the preliminary benchmark surveys, the working group and the consultant decided thatthe Can-Trace Integration Guidelines report will:
a) Identify the gaps.
b) Discuss the reasons as to why the gaps exist relative to the objectives and functional requirements of theprograms.
c) Prepare a set of recommendations to be presented to the Standards Working Group regarding proposedmodifications to the mandatory data elements, in order to accommodate the objectives and the functionalrequirements of the programs. In the context of this report, the word “modifications” refers to both theinclusion of optional data elements and expanding or changing the definitions (terminology) of some of theexisting data elements relative to the four basic elements of traceability.
It should be noted that the discussion of the gaps and the recommendations contained in this report focus on theability of the CFTDS v 1.0 to accommodate the objectives and functional requirements of the programs.Theoretically if a program does not use a mandatory data element of the CFTDS v 1.0 then it is technically a gapas far as the survey results are concerned. However it is not the intention of this report to refer to the missingmandatory data elements as data elements which must be included by the programs.
The discussion of the gaps and the recommendations contained in this report compare the Objectives and theFunctional Requirements of the programs to the Objectives and the Functional Requirements of the CFTDS v 1.0.The individual data elements are discussed on the basis of their traceability functions relative to the four basicelements of traceability (Party, Product, Location and Shipment Identification), and on the basis of their data types(Master or Transactional).
The fundamental conclusion of this report is that the mandatory data elements in the CFTDS v 1.0 do notcompletely satisfy the functional requirements of on farm food safety and animal health programs because thebasic elements of traceability are applied from a downstream supply chain perspective.
The fundamental recommendation of this report is that in order to enable the seamless integration of themandatory Can-Trace data elements into existing on and off farm traceability programs, the mandatory dataelements in the CFTDS v 1.0 must be modified to accommodate a more generic application of the basic elementsof traceability, and that they must include more data elements to satisfy the functional requirements for ShipmentIdentification.
- 8 -
2. Can-Trace Standard - Objectives and Functional Requirements:
The purpose of this section is to describe the Objectives and the Functional Requirements of the CFTDS v 1.0, andthe concepts of “Basic Elements of Traceability” and “Master and Transactional Data Types,” on which the CFTDSv 1.0 is based.
The relevant section of the CFTDS v 1.0 is included verbatim in Appendix A.
Objectives:
The objective of Can-Trace is to define and develop minimum information requirements for a national whole-chainall-product traceability standard based on the globally recognized GS1 System (formerly called the EAN.UCC System).Specifically, this voluntary standard will establish the minimum data elements required to be collected, kept andshared between trading partners.
Functional Requirements:
The standard is based on the one link up/one link down model of collecting, keeping and sharing traceabilityinformation.
Units are traced for purposes such as recall and complaints.
The standard document “Canadian Food Traceability Data Standard Version 1.0” contains background informationand data concepts which are used to explain how to use this standard.
The important data concepts behind the standard include:
Basic Elements of Traceability:
The basic elements of traceability include Product, Party and Location Identifiers.
They are used in the one up/one down model of sharing traceability information by assigning identifiers to aproduct, relating them to their predecessor, recording them and sharing them with supply chain partners. Asproducts move or are transformed by different chain participants at different locations, new product, party andlocation identifiers are assigned and linked to their predecessors.
There are many ways to assign, record and store identifiers. The Can-Trace standard allows for the generic use ofthe identifiers and GS1 global standards (formerly called EAN.UCC international standards) for product, party andlocation identification.
Data Types:
There are two types of data required for traceability: Master and Transactional data.
Master data is information that seldom changes. Master data applies to product, party and location information.It includes information such as product description, buyer identifier, location etc.
Transactional data is data that is unique to each individual transaction. Examples include lot number, shipmentidentifier and shipment date.
Can-Trace Integration Guidelines April 2006 - 9 -
Can-Trace Integration Guidelines April 2006
Data Usage:
As the name implies, mandatory data refers to the information that all supply chain partners are obliged to collect,keep, or share. Optional data are additional pieces of information that are useful but not essential.
Comments:
The CFTDS v 1.0 is designed from a downstream supply chain perspective. Its primary functional requirement isto provide traceability for the purpose of facilitating food safety recalls. The basic elements and data types aredesigned from this perspective in order to meet this functional requirement.
The master and transactional data types are significant if a program wishes to use the EAN.UCC internationalstandards for product, party and location identification. If these data elements are used generically, as the CFTDSv 1.0 allows for, then this is not significant to the program itself. However the data types would impact how thedata is kept (stored) by an individual party who is responsible for the data at a link in the supply chain.
3. Survey Questionnaire Description:
The survey questionnaire was prepared as an Excel spreadsheet file, which contains a set of five worksheets. Theset of five worksheets consists of:
Introduction: Which describes the purpose of the survey, the method to be used to determine the gaps and theinstructions for answering the questions.
Questions: Which presents the questions in a two set (Y/N) format. The format also included a column forterminology and function comments and a description of each program’s traceability objectives.
Can-Trace Mandatory Data: Which was included for reference purposes and describes the eight mandatory dataelements as per CFTDS v 1.0.
Can-Trace Data Dictionary: Which was included for reference purposes and describes the twenty-four dataelements as per CFTDS v 1.0.
Traceability Functions: Which was included for reference purposes and describes the traceability function of eachof the twenty-four data elements as per CFTDS v 1.0.
A copy of the Excel spreadsheet file is included in Appendix B.
4. Survey Methodology:
The consultant presented the survey to each of the programs, as an opportunity for them to compare thetraceability requirements in their programs with the Can-Trace mandatory data elements. It was also stressed thatfrom Can-Trace’s perspective the purpose of the survey was to identify the gaps and not “to recommend changesto the programs in order for them to conform to Can-Trace”.
The individual surveys were conducted as follows:
The consultant conducted an initial telephone call for the purpose of introduction and to gain an understanding of
- 10 -
each program’s ultimate goals and traceability accomplishments to date. Prior to conducting the initial call, theconsultant conducted a web search review of each program and its traceability requirements.
Each participant was e-mailed a copy of the survey questionnaire to review and to prepare their preliminaryanswers.
The consultant then conducted the survey with the participant by telephone and took the notes which were to beentered in the description and comments column.
After the survey telephone call, the consultant entered the comments based upon his notes and reviewed thesurvey answers to check for any omissions or discrepancies and to identify any answers which might requirefurther clarification.
The completed survey was e-mailed to the participant for review. Further clarification was conducted by means offollow-up telephone calls.
If changes were made to the answers or comments then these were entered by the consultant and the revisedsurvey was e-mailed to the participant for review. This cycle was repeated until the survey answers were acceptedby the participant.
5. Participating Programs:
Some of the participating programs fall under the general description of on farm food safety and/or HACCPprograms.
In additional to their traceability requirements, the on-farm food safety programs must satisfy the requirementsof the Canadian On-Farm Food Safety (COFFS) Program. The COFFS Program is a producer-led,industry/government partnership that provides national commodity groups with the opportunity to develop thestrategies and the necessary tools to educate producers and to implement national on-farm food safety initiativesconsistent with the Codex Alimentarius’ Hazard Analysis Critical Control Point (HACCP) definitions and principlesand with the Canadian Food Inspection Agency’s Food Safety Enhancement Program.
The Canadian Food Safety Adaptation Program (CFSAP) is an innovative national program to assist the agri-foodindustry in designing comprehensive, collaborative food safety strategies and management systems. CFSAP wasdesigned by the Canadian Food Inspection Agency in consultation with Agriculture and Agri-Food Canada and foodindustry stakeholders. The use of HACCP as a tool helps promote a consistent scientific approach to food safety.The CFSAP initiative complements other initiatives targeting food safety such as the Canadian On-Farm FoodSafety Program
For a brief overview on HACCP, please visit the following url:
http://www.inspection.gc.ca/english/fssa/polstrat/haccp/haccpe.shtml and
http://www.inspection.gc.ca/francais/fssa/polstrat/haccp/haccpf.shtml
Can-Trace Integration Guidelines April 2006 - 11 -
Can-Trace Integration Guidelines April 2006
For a brief overview on COFFS, please visit the following url:
www.onfarmfoodsafety.ca and www.salubritedesalimentsalaferme.ca
The benchmark surveys were conducted during the period from August 11, 2005 to August 26, 2005. The finalsurveys were conducted during the period from October 15, 2005 to November 2005.
The following programs participated in both the benchmark and the final surveys:
a) Canadian Grain Commission - Canadian Identity Preservation Recognition System, (CIPRS), represented by Jo-Anne Sutherland
b) Canadian Pork Council - National Identification and Traceability for Swine (CPC), represented by FrançoisBédard
c) Dairy Farmers of Canada - Canadian Quality Milk Program (CQM), represented by Nicole Sillett
The following programs participated in the final survey:
d) Equine Canada - Equine Canada ID Project (EC), represented by Vel Evans
e) Canadian Herb, Spice & Natural Health Product Coalition - Plant Identification for the Herbal Industry(CHSNHPC), represented by Connie Kehler
f) Canadian Livestock Identification Agency (CLIA), represented by Michael Dexter
g) Packaging Association of Canada (PAC), represented by Roger Miller
h) Canada Organic Initiative (COI), represented by Paddy Doherty
i) Agri-Traçabilité Québec (ATQ), represented by Linda Marchand – At the time of the writing of this draft, theresults of this survey had not yet been confirmed by the participant.
j) Canadian Food Inspection Agency – Food Safety Enhancement Program (FSEP), represented by Tom Graham- This survey was conducted in March 2006, after version 2.5 of the report was written. The results of thissurvey have been included in this final draft of the report.
The results of the final survey questionnaires are included in Appendix C.
- 12 -
6. Can-Trace GAP Survey Results:
6. A. Mandatory Data Elements:
Can-Trace Integration Guidelines April 2006 - 13 -
Mandatory Data Element
Basic Element of Traceability CIPRS CPC CQM EC CHSNHPC CLIA PAC COI FSEP
Buyer Identifier - Required Party/Location Y N N Y Y N N Y Y
Buyer Identifier - Terminology N N N Y N N N Y Y
Y N N Y Y Y N Y Y noitcnuF - reifitnedI reyuB
Lot Number - Required Product Y N N N Y N Y Y Y
Y Y Y N Y N N N Y ygolonimreT - rebmuN toL
Y Y Y N Y N N N Y noitcnuF - rebmuN toL
Product Description - Required Product Y N N N Y N Y Y Y
Product Description - Terminology Y N N N N N N Y Y
Product Description - Function Y N N N N N Y Y Y
Product Identifier - Required Product Y/N Y Y Y Y Y Y Y Y
Product Identifier - Terminology Y Y N Y N N N Y Y
Product Identifier - Function Y Y Y Y N Y Y Y Y
Y Y Y Y Y N Y Y Y tcudorP deriuqeR - ytitnauQ
Y Y Y N Y N Y Y Y ygolonimreT - ytitnauQ
Y Y Y Y Y N Y Y Y noitcnuF - ytitnauQ
Shipment Identifier - Required Party/Location/Shipment Y Y N Y/N Y Y Y Y Y
Shipment Identifier - Terminology Y N N Y N N Y Y Y
Shipment Identifier - Function Y Y N Y Y Y Y Y Y
Unit of Measure - Required Product Y N N N Y N Y Y Y
Unit of Measure - Terminology Y N N N Y N Y Y Y
Unit of Measure - Function Y N N N Y N Y Y Y
Supplier Identifier - Required Party/Location Y N Y Y Y Y Y Y Y
Supplier Identifier - Terminology Y N N Y N N N Y Y
Supplier Identifier - Function Y Y N Y Y Y Y Y Y
Can-Trace Integration Guidelines April 2006
6. B. Optional Data Elements:
- 14 -
Optional Data Element
BasicElement of Traceability CIPRS CPC CQM EC CHSNHPC CLIA PAC COI FSEP
Vehicle Identifier - Required Shipment Y Y N Y N Y Y N N Can-Trace Optional Y Y Y Y Y N Can-Trace - Terminology Y N N N N N Y N N Can-Trace - Function Y Y N Y N Y Y N N
Shipment Date - Required Shipment N Y N Y N Y Y N Y Can-Trace Optional Y Y Y Y Y Can-Trace - Terminology N Y N Y N Y Y N Y Can-Trace - Function N Y N Y N Y Y N Y
Shipment Time - Required Shipment N Y N Y N N Y N N Can-Trace N/A Can-Trace - Terminology N N N N N N N N N Can-Trace - Function N N N N N N N N N
Receipt Date - Required Shipment N Y N Y N Y N N Y Can-Trace Optional Y Y Y Y Can-Trace - Terminology N Y N Y N Y N N Y Can-Trace - Function N Y N Y N Y N N Y
Receipt Time - Required Shipment N Y N Y N N N N N Can-Trace N/A Can-Trace - Terminology N N N N N N N N N Can-Trace - Function N N N N N N N N N
Ship From Location - Required Party/Location N Y N Y N Y N N Y Can-Trace Optional Y Y Y Y Can-Trace - Terminology N N N N N N N N Y Can-Trace - Function N Y N Y N Y N N Y
Ship To Location - Required Party/Location N Y N Y N Y Y Y Y Can-Trace Optional Y Y Y Y N Y Can-Trace - Terminology N N N N N N N N Y Can-Trace - Function N Y N Y N Y Y N Y
Ship Container Seal No - Required Product Y N N N N N N N Y Can-Trace Optional Y Y Can-Trace - Terminology Y N N N N N N N Y Can-Trace - Function Y N N N N N N N Y
Can-Trace Integration Guidelines April 2006 - 15 -
Optional Data Element
BasicElement of Traceability CIPRS CPC CQM EC CHSNHPC CLIA PAC COI FSEP
Premise of Origin (Contact) - Required Party/Location N N Y Y N Y N Y N Can-Trace Optional Y N Y N Can-Trace - Terminology N N N N N N N N N Can-Trace - Function N N Y Y N Y N N N
Responsible Party Contact - Required Party N N N N N N N Y N Can-Trace Optional Y Can-Trace - Terminology N N N N N N N Y N Can-Trace - Function N N N N N N N Y N
Animal Age ? N N Y N N N N N N Can-Trace Optional Y Can-Trace - Terminology N N N N N N N N N Can-Trace - Function N N Y N N N N N N
Premise of Residence (Contact) - Required Party/Location N N N Y N N N N N Can-Trace N/A Can-Trace - Terminology N N N N N N N N N Can-Trace - Function N N N Y N N N N N
Premise of Activity (Contact) - Required Party/Location N N N Y N N N N N Can-Trace N/A Can-Trace - Terminology N N N N N N N N N Can-Trace - Function N N N Y N N N N N
Voucher Specimen Product N N N N Y N N N N Can-Trace N/A Can-Trace - Terminology N N N N N N N N N Can-Trace - Function N N N N N N N N N
Retention Sample ID Product N N N N Y N N N N Can-Trace N/A Can-Trace - Terminology N N N N N N N N N Can-Trace - Function N N N N N N N N N
Responsible Party ID - Required Party N N N N N N N Y N Can-Trace N/A Can-Trace - Terminology N N N N N N N N N Can-Trace - Function N N N N N N N N N
Can-Trace Integration Guidelines April 2006
- 16 -
Optional Data Element
BasicElement of Traceability CIPRS CPC CQM EC CHSNHPC CLIA PAC COI FSEP
Certification Body ID - Required Party N N N N N N N Y N Can-Trace N/A Can-Trace - Terminology N N N N N N N N N Can-Trace - Function N N N N N N N N N
Establishment Registration Number - Required Party/Location N N N N N N N Y Y Can-Trace N/A Can-Trace - Terminology N N N N N N N N N Can-Trace - Function N N N N N N N N Y
Country of Origin - Required Location N N N N N N N Y Y Can-Trace Optional Y Can-Trace - Terminology N N N N N N N N Y Can-Trace - Function N N N N N N N N Y
Shipping Company - Required Party N N N N N N N Y Y Can-Trace Optional Y Can-Trace - Terminology N N N N N N N N Y Can-Trace - Function N N N N N N N N Y
7. Discussion of GAP Survey Results by Program:
7. A. Canadian Grain Commission - Canadian Identity Preservation RecognitionSystem (CIPRS)
Objectives:
The CIPRS standard is process-oriented, not data-oriented. The standard describes the QMS process controlrecords (i.e. data) to be collected and stored for retrieval. The standard is not prescriptive, but does requiretraceability and audits to ensure that traceability is in place within the company’s scope of operation.
Functional Requirements:
Traceability is based on the one link up/one link down model of collecting, keeping and sharing traceabilityinformation.
Units are traced primarily for the purpose of identity preservation.
Basic Elements of Traceability and Data Types:
Product Identification:In the upstream part of the supply chain the product identity must be preserved while the product is in a bulkformat. The product identifier is often some combination of the identifier of the storage or shipping container incombination with the product description and/or the vehicle of conveyance identifier.
Party/Location Identification:The buyer may sometimes be identified by the supplier’s contract number and not by a unique identifier.
Shipment Identification:The Vehicle and Shipping Container Identifiers are transactional data elements which are used for productidentification.
The vehicle of conveyance and a particular compartment of the vehicle, such as a hold on a ship, and theidentification of a unique seal on a shipping container are all important to preserving the identity of the productwhile it is in a bulk format.
Comments:
In the CFTDS v 1.0, the product identifier is a master data type. In the CIPRS program, while the product is in abulk format, the product identifiers are transactional. The product identifiers require an association with theshipment identifiers (the vehicle and the unique shipping container identifier or storage device).
The use of the buyer identifier is not mandatory in the CIPRS program. Where the supplier’s contract number is usedto identify the buyer and/or the seller, the identifier becomes a transactional and not a master data type. If thecontract number is unique to a particular shipment, then it could also be considered to be a shipment identifier, sincein the CFTDS v 1.0, the shipment identifier serves a function in providing both Party and Location identification.
In order to enable the seamless integration of the CFTDS v 1.0 mandatory data elements into the traceabilityrequirements of the CIPRS program, the Vehicle and Shipping Container Identifiers would have to be included asmandatory data elements.
Can-Trace Integration Guidelines April 2006 - 17 -
Can-Trace Integration Guidelines April 2006
7. B. Canadian Pork Council (CPC)
Objectives:
The CPC is developing a traceability system to track swine movement from birth to slaughter. The purposes of thesystem are to:
1. Minimize the impact of a food safety crisis or a foreign or domestic animal disease outbreak. 2. Reinforce our domestic and export market access. 3. Improve competitiveness.
Functional Requirements:
Traceability is based on the use of a central database model for keeping and sharing traceability information.
Animal movements are tracked in order to determine, at a precise point in time, their exact location and all otheranimals or vehicles of conveyance that they were in contact with.
The program deals with the animals in the upstream portion of the supply chain from farm to slaughter.
Basic Elements of Traceability and Data Types:
Product Identification:Animal Identification is used to uniquely identify an individual animal for specific movements, such as co-minglingof animals where the final destination is unknown e.g. auction, show, test station, etc. This will also be requiredfor breeding stock.
However where the final destination is known a group of animals that is moved together will share the sameidentifier (group number) in the central database. Unlike a processor’s lot number where each unit that belongsto the lot shares the same production attributes, an animal will belong to a different group number each time thatit is moved. In this context the group number is actually a shipment identifier that is used for product identificationand is thus a transactional data type.
Party/Location Identification:The CPC system uses Premises IDs to identify the location (Premises ID) from and to which theanimal is shipped. The identification of buyers and sellers is not required due to the fact that a largeportion of the industry is vertically integrated and an animal can be shipped from one location toanother, with no change in ownership. The “Contact” is identified by the Premises ID record whichis registered in a central database. The Contact information is stored in the database and isaccessed by the Premises ID.
Shipment Identification:In addition the use of the Group Number as a Shipment Identifier, the Vehicle Identifier and the Shipment andReceipt Dates are transactional data elements which are needed for the tracking precision required by theprogram.
The identity of the vehicle of conveyance is used for animal health reasons. If a diseased animal was transportedon a truck, then all other animals which were transported on that truck may be affected as well, even if they donot belong to the same group number (shipment identifier).
The date and time that an animal was at a certain location or transported by a certain vehicle is required.
- 18 -
Comments:
The CPC system uses the terminology of Premises ID of Shipment Origin and Premises ID of Shipment Destinationto refer to Ship from Location and Ship to Location identifiers. However since the Premises ID also serves thefunction of identifying the contact at each location its function is not identical to the function and definition of theShip from Location and Ship to Location identifiers in the CFTDS v 1.0.
It is of interest to note that an implementation of the CFTDS v 1.0, which uses the GS1 global standards forproduct, party and location identification would also use the Global Location Number (GLN). In the GS1 System,the GLN provides the function of identifying entities. These entities can be both Parties and Locations. Thereforethe GLN can be used to identify Buyers, Sellers, Ship from Locations and Ship to Locations. The traceabilityfunctions (basic elements of traceability) of the GLN are the same as those of the Premises ID in the CPCprogram.
In order to enable the seamless integration of the CFTDS v 1.0 mandatory data elements into the traceabilityrequirements of the CPC program the following gaps need to be resolved:
• The definition and function of the Ship from Location and Ship to Location identifiers in the CFTDS v 1.0need to be expanded to include those of the Premises ID.
• The Ship from Location and Ship to Location identifiers need to be made mandatory data elements. • The Vehicle Identifier in the CFTDS v 1.0 needs to be made a mandatory data element. • The definitions of the Receipt Date and Ship Date data elements in the CFTDS v 1.0 need to be expanded
to include time.• The Receipt Date and Ship Date data elements need to be made mandatory data elements.
It should be noted that the Shipment Identifier, which is a mandatory data element in the CFTDS v 1.0, serves therequirement of pointing to or referencing where the above mentioned gap elements are stored. Generally theShipment Identifier is the reference number of a shipment’s bill of lading, waybill document or electronic advancedshipment notice. It is this document which contains the data (Ship from Location, Ship to Location, Receipt Dateand Ship Date, Vehicle Identifier). In the CFTDS v 1.0, the Shipment Identifier actually points to where thisinformation is stored (kept). In an electronic system it is the database record identifier that points to the recordwhich stores the data, while in a manual system it is the document itself. In the CPC system the data elementsthemselves are mandatory, not just the pointer.
7. C. Dairy Farmers of Canada Canadian Quality Milk Program (CQM)
Objectives:
The CQM requires traceability in accordance with ATQ regulations in Quebec and in accordance with CCIAregulations in the rest of Canada. In addition the CQM requires the unique identification of each animal on the farmfor the purpose of recording each animal’s treatment history. It should be noted that the answers to the surveyquestions reflect the minimum requirements of the CCIA regulations and not those of the ATQ. If the gaps were tobe identified in comparison with the ATQ regulations then the responses to the survey questions would be different.
Functional Requirements:
Traceability is based on the use of a central database model for keeping and sharing traceability information.
Animals are traced for the purpose of identity preservation and animal movements are tracked in order to
Can-Trace Integration Guidelines April 2006 - 19 -
Can-Trace Integration Guidelines April 2006
determine, at a precise point in time, their exact location and all other animals or vehicles of conveyance that theywere in contact with.
The program deals with the animals in the upstream portion of the supply chain from farm to slaughter.
Basic Elements of Traceability and Data Types:
Product Identification:The CQM uniquely identifies each animal as per the definition of Product Identifier in the CFTDS v 1.0.
Party/Location Identification:In the CQM system the identifier of interest is the farm of origin. Contact information related to the farm of originis also required.
The participants in the CQM program must also follow the traceability requirements of the ATQ in Quebec and theCCIA outside of Quebec. The requirements of these programs are not included here.
Comments:
In order to enable the seamless integration of the CFTDS v 1.0 mandatory data elements into the traceabilityrequirements of the CQM program either the definition of the Vendor/Supplier Identifier needs to be expanded toinclude a “Contact” who is not necessarily the seller or the Contact Information identifier needs to be included inthe mandatory data elements.
7. D. Equine Canada - Equine Canada ID Project (EC)
Objectives:
To support the economic sustainability of the Canadian Equine sector with a national equine identification andtracking system that: 1. Minimizes the risk and impact of contagious disease outbreaks either for animal healthemergencies affecting horses or other livestock in Canada or human health. 2. Meets international standards forequine ID and movement tracking as required to ensure continued international movement for Canadian horsesfor sport breeding and recreation. 3. Provides the reporting infrastructure to record health status at the time ofslaughter affecting meat quality and safety for horses as food animals as required by current and futureregulations.
Functional Requirements:
Traceability is based on the use of a central database model for keeping and sharing traceability information. Thecentral database receives information from other databases and must also update information in the CLIA centraldatabase.
Animals are traced for the purpose of identity preservation and animal movements are tracked in order todetermine, at a precise point in time, their exact location and all other animals or vehicles of conveyance that theywere in contact with.
The system deals with the animals in the upstream portion of the supply chain from farm to slaughter.
- 20 -
Basic Elements of Traceability and Data Types:
Product Identification:The EC program uniquely identifies each animal as per the definition of Product Identifier in the CFTDS v 1.0. Inthe EC system the product identifier is called the UELN - Unique Equine Life Number.
Party/Location Identification:The EC program uses buyer and seller identifiers. Shipment identifiers are only required if a mandatory transportmanifest is required.
The EC program also uses Premises IDs to identify the locations from and to which the animal is shipped. The“Contact” is identified by the Premises ID record which is registered in a central database.
The EC program also uses Premises ID to identify the locations of birth, residence and activity.
Shipment Identification:
The Vehicle Identifier and the Shipment and Receipt Dates are transactional data elements which are needed forthe tracking precision required by the system.
The identity of the vehicle of conveyance is used for animal health reasons.
The date and time that an animal was at a certain location or transported by a certain vehicle is required.
Comments:
The EC program has many additional data elements which are related specifically to animal health and animalhistory. These elements were identified in the survey, but are not included for discussion in this report. Theelements which were included are those which are considered to be traceability related; product, party, locationor shipment identifiers.
The EC program uses the terminology of Premises ID of Shipment Origin and Premises ID of Shipment Destinationto refer to Ship from Location and Ship to Location identifiers. However since the Premises ID also serves thefunction of identifying the contact at each location its function is not identical to the function and definition of theShip from Location and Ship to Location identifiers in the CFTDS v 1.0.
The comments made in Section 7.B. Canadian Pork Council (CPC), regarding the use of the GS1 Global LocationNumber (GLC) for an implementation of the CFTDS v 1.0 that uses the GS1 global standards for product, partyand location identification also applies to the EC system.
In order to enable the seamless integration of the CFTDS v 1.0 mandatory data elements into the traceabilityrequirements of the EC system the following gaps need to be resolved:
The definition and function of the Ship from Location and Ship to Location identifiers in the CFTDS v 1.0 need tobe expanded to include those of the Premises ID. The Ship from Location and Ship to Location identifiers need to be made mandatory data elements. The Vehicle identifier in the CFTDS v 1.0 needs to be made a mandatory data element. The definitions of the Receipt Date and Ship Date data elements in the CFTDS v 1.0 need to be expanded toinclude time.
Can-Trace Integration Guidelines April 2006 - 21 -
Can-Trace Integration Guidelines April 2006
The Receipt Date and Ship Date data elements need to be made mandatory data elements.The use of the Premises ID to identify the locations of birth, residence and activity must be accommodated.
The comments made in Section 7. B. Canadian Pork Council (CPC), regarding the use of the Shipment Identifierin the CFTDS v 1.0 to point to where the Ship from Location, Ship to Location, Receipt Date, Ship Date and VehicleIdentifier are stored (kept) applies to this program as well.
7. E. Canadian Herb, Spice & Natural Health Product Coalition - Plant Identificationfor the Herbal Industry (CHSNHPC)
Objectives:
Use traceability for identity and contaminant identification, risk management and limit of liability.
Functional Requirements:Traceability is based on the one link up/one link down model of collecting, keeping and sharing trace-ability information.
Units are traced primarily for the purpose of identity preservation and risk management.
Basic Elements of Traceability and Data Types
Product Identification:At the primary producer level the lot number serves as the identifier. The information kept with this lot numberidentifies the product. e.g. field and date of harvest, sample ID, etc.
The product is described by its scientific name (genus and species) and common name, as they appear on theCertificate of Authenticity/Identity. Information is required to be kept and must be linked to the lot or batch, butmay not always be marked on the container or the box.
The lot number may also be used to identify the shipment.
The Voucher Specimen is a visual physical representation of the product (press or photo of plant).
The Retention Sample is a representative sample of a lot, batch, or shipment of a herb that is retained by thesupplier when the lot, batch, or shipment is sold up the supply chain.
Party/Location Identification:The sender of the product may not actually be the vendor as there may not be a transfer of ownership.
The receiver of the product may not actually be the buyer as there may not be a transfer of ownership.
Comments:
In the CFTDS v 1.0, the product identifier is a master data type. In the CHSNHPC program, the product identifierscan be transactional. The product identifiers also require the retention of certificates of authenticity and specimensamples.
The CHSNHPC program uses sender and receiver identifiers to identify parties and locations.
- 22 -
If the lot number is used as the shipment identifier, then the shipment may not be uniquely identified if the receiverreceives multiple shipments of the same lot number.
In order to enable the seamless integration of the CFTDS v 1.0 mandatory data elements into the traceabilityrequirements of the CHSNHPC program, the definitions and/or the number of data elements used as ProductIdentifiers and Product Descriptions have to be expanded to include the association with Voucher Specimens andRetention Samples.
7. F. Canadian Livestock Identification Agency (CLIA)
Objectives:
1. The objective(s) of the Corporation are:(i) To provide for the development, administration and maintenance of a national multi-species database forlivestock identification, traceability and livestock premises identification (ii) To develop national standards and minimum criteria for multi-species Identification and traceability for speciesin Canada (iii) To provide a platform (forum) for discussions and policy development on livestock identification and traceabilityfor animal health emergency management and food safety
2. The corporation has been formed for the purpose of performing agreed upon services for and on behalf of themembers of the Corporation. Without restricting the generality of the foregoing one of the services to be providedby the Corporation is the development, maintenance, administration and management of the national multi-species database system used by the Livestock Industry Members for shared data, meeting minimum standardsand criteria, common to all species.
3. With the exception of the national multi-species database system of shared data, the Livestock IndustryMembers of the Corporation are responsible for developing and administering their own national identificationsystem for the animals of the species represented by that Member.
Functional Requirements:
Traceability is based on the use of a central database model for keeping and sharing traceability information.
Animal movements are tracked in order to determine, at a precise point in time, their exact location and all otheranimals or vehicles of conveyance that they were in contact with.
The program deals with the animals in the upstream portion of the supply chain from farm to slaughter.
Basic Elements of Traceability and Data Types:
Product Identification:Depending upon the species animals will either be uniquely identified or will be identified as a group that movestogether.
The group number is actually a shipment identifier that is used for product identification. Lot numbers are notused.
In the CLIA system the product description is the species.
Can-Trace Integration Guidelines April 2006 - 23 -
Can-Trace Integration Guidelines April 2006
Party/Location Identification:
The CLIA system uses Premises IDs to identify the location (Premises ID) from and to which the animal is shipped.The identification of buyers is not required due to the fact that the Premises ID is used to identify the receivinglocation. For some species the Producer ID is used in the place of the Vendor Identifier. The “Contact” is identifiedby the Premises ID record which is registered in a central database.
The Premises ID of registry is also required.
Shipment Identification:
The Vehicle Identifier and the Shipment and Receipt Dates are transactional data elements which are needed forthe tracking precision required by the system.
The identity of the vehicle of conveyance is used for animal health reasons.
The date and time that an animal was at a certain location or transported by a certain vehicle is required.
Comments:
The CLIA system uses the terminology of Premises ID of Shipment Origin and Premises ID of Shipment Destinationto refer to Ship from Location and Ship to Location identifiers. However since the Premises ID also serves thefunction of identifying the contact at each location its function is not identical to the function and definition of theShip from Location and Ship to Location identifiers in the CFTDS v 1.0.
The comments made in Section 7.B. Canadian Pork Council (CPC), regarding the use of the GS1 Global LocationNumber (GLN) for an implementation of the CFTDS v 1.0 that uses the GS1 global standards for product, partyand location identification also applies to the CLIA program."
In order to enable the seamless integration of the CFTDS v 1.0 mandatory data elements into the traceabilityrequirements of the CLIA program the following gaps need to be resolved:
• The definition and function of the Ship from Location and Ship to Location identifiers in the CFTDS v 1.0need to be expanded to include those of the Premises ID.
• The Ship from Location and Ship to Location identifiers need to be made mandatory data elements. • The Vehicle identifier in the CFTDS v 1.0 needs to be made a mandatory data element. • The definitions of the Receipt Date and Ship Date data elements in the CFTDS v 1.0 need to be expanded
to include time.• The Receipt Date and Ship Date data elements need to be made mandatory data elements.• The use of the Premises ID to identify the location of registry must be accommodated.
The comments made in Section 7. B. Canadian Pork Council (CPC), regarding the use of the Shipment Identifierin the CFTDS v 1.0 to point to where the Ship from Location, Ship to Location, Receipt Date, Ship Date and VehicleIdentifier are stored (kept) applies to this program as well.
- 24 -
7. G. Packaging Association of Canada (PAC)
Objectives:
To document the requirements should a product recall be needed. Adherence to standards and proper executionof activities will help minimize risk from possible defective harmful products that have entered the system. It willallow tracing and accounting for all identified defective products in a quick and efficient manner, managingcommunications in the event of a recall, and assisting outside agencies by having a predetermined plan andinformation gathering mechanisms. Recalls will be consistently managed when initiated by the customer, supplier,or converter.
Functional Requirements:
Traceability is based on the one link up/one link down model of collecting, keeping and sharing traceabilityinformation.
Units are traced primarily for the purpose of identifying product for recall.
Basic Elements of Traceability and Data Types:
Product Identification:The Product Identifier is not a code but a detailed description, which is used on receiving & shipping logs toindicate specific identity criteria such as the material, form factor, weight and dimensions.
The Product Description refers to the generic product name or “type of material” which is used to describe thematerial on receiving logs, e.g. paper.
The Lot Number could be a production batch number or production date code.
Party/Location Identification:The buyer is not necessarily identified. The receiver of the shipment can be identified by the Destination Name &Address (Ship to Location Identifier).
The vendor is not necessarily identified with a unique code. The vendor can be identified as the Supplier Nameon the receiving log.
Shipment Identification:The Vehicle Identifier and the Shipment and Receipt Dates are transactional data elements which are required bythe program.
The identity of the vehicle of conveyance is used.
The date and time of a shipment or a reception is required.
Comments:In order to enable the seamless integration of the CFTDS v 1.0 mandatory data elements into the traceabilityrequirements of the PAC program the following gaps need to be resolved:
Can-Trace Integration Guidelines April 2006 - 25 -
Can-Trace Integration Guidelines April 2006
The Ship to Location identifier in the CFTDS v 1.0 needs to be made a mandatory data element. The Vehicle identifier in the CFTDS v 1.0 needs to be made a mandatory data element. The definition of the Ship Date data element in the CFTDS v 1.0 needs to be expanded to include time.The Ship Date data element needs to be made a mandatory data element.
This is another example of a program that requires the data elements that are included in a shipment documentand not just the Shipment Identifier itself.
7. H. Canada Organic Initiative (COI)
Objectives:
Records that shall make it possible to trace:a. the origin, nature and quantities of organic products that have been delivered to the production unit;b. the nature, quantities and consignees of products that have left the production unit;c. any other information, such as the origin, nature and quantities of ingredients, additives and manufacturing aidsdelivered to the unit, and the composition of processed products, for the purposes of proper verification of theoperations.
Functional Requirements:
Traceability is based on the one link up/one link down model of collecting, keeping and sharing traceabilityinformation.
Units are traced primarily for the purpose of verifying the origin and identity of a product.
Basic Elements of Traceability and Data Types:
Product Identification:The Product is identified using the mandatory data elements in the CFTDS v 1.0.
Party/Location Identification:The Parties and Locations are identified according to the mandatory data elements in the CFTDS v 1.0., with theexception that the Buyer does not have to be identified by a code. The use of Buyer’s name is acceptable for auditpurposes.
Every vendor/supplier is provided with a unique code assigned by a certification body.
The last responsible party to handle the product must also be identified (Producer, Preparer or Distributor ID),including their contact information.
The farm of origin must be identified.
The consignee for all shipments must be identified.
Comments:
In order to enable the seamless integration of the CFTDS v 1.0 mandatory data elements into the traceability
- 26 -
requirements of the COI program the following gaps need to be resolved:
The Contact Information identifier in the CFTDS v 1.0 needs to be made a mandatory data element toaccommodate identifying the last responsible party. The Farm of Origin Identity must be accounted for. The Consignee for all shipments must be must be accounted for (The consignee can be the Ship to LocationIdentifier in some cases.The Ship Date data element needs to be made a mandatory data element.
7. I. Agri-Traçabilité Québec
At the time of the writing of this report, the results of this survey had not yet been confirmed by the participant.
7. J. Canadian Food Inspection Agency – Food Safety EnhancementProgram (FSEP)
Objectives:
Traceability is addressed in FSEP through the prerequisite program component of an establishment’s HACCPsystem. Specifically, the Recall Program details an establishment’s recall system and product codeidentification/distribution information. The objective of the recall program is to ensure establishments have thenecessary recall team structure in place and sufficient information and details so that it can recall 100% of theaffected product in a timely fashion should the need arise. An annual mock recall is utilized to ensure theseobjectives are met.
Functional Requirements:
Traceability is based on the one link up/one link down model of collecting, keeping and sharing traceabilityinformation.
Units are traced for the purpose of recalling 100% of the affected product in a timely fashion.
Basic Elements of Traceability and Data Types:
Product Identification:The Product is identified using the mandatory data elements in the CFTDS v 1.0. In addition the FSEP requiresthat the Establishment Registration Number, which identifies the plant of production, must also appear on theproduct identification label, which is attached to the box.
The Country of Origin must also be identified on the label.
Party/Location Identification:The Parties and Locations are identified according to the mandatory data elements in the CFTDS v 1.0., with theexception that the Supplier does not have to be identified by a code. The use of a Supplier’s name is acceptablefor recall purposes. The exception is where the Supplier is the plant of production. In this instance theEstablishment Registration Number is used to identify the supplier.
The Establishment Registration Number is a federally registered number which is assigned by the Canadian Food
Can-Trace Integration Guidelines April 2006 - 27 -
Can-Trace Integration Guidelines April 2006
Inspection Agency. It also serves to identify the Ship from Location, when the shipper is the plant of production.
In addition to identifying the Buyer who purchased the product, the FSEP requires the shipper to maintain recordswhich identify the Ship to Location (name, address, etc.) and the Buyer’s Contact information.
Shipment Identification:
The Shipping Company (Logistics Provider Identifier) and the Shipment and Receipt Dates are transactional dataelements which are required by the program.
In addition the record of any code markings identifying the shipment (Shipping Container Serial Number) is alsorequired.
Comments:
The mandatory data elements of the CFTDS v 1.0 are all applicable in order to satisfy some but not all of thetraceability requirements of the FSEP program. The FSEP program requires the use of the following data elements,which are optional in the CFTDS v 1.0:
• Logistics Provider Identifier • Shipping Container Serial Number• Shipment and Receipt Dates • Contact Information• Country of Origin• Ship to Location and Ship from Location
The FSEP also requires one data element, the Establishment Registration Number, which is not included in eitherthe mandatory or optional data elements in the CFTDS v 1.0.
The Establishment Registration Number is an important traceability requirement of the FSEP because it is a dataelement which must be visible on the label which identifies the product at the trade item (wholesale) level.
The Establishment Registration Number serves the traceability functions of both Party Identifier (Supplier) andLocation Identifier (Plant of Production). The use of a location identifier to identify the plant of production is notexplicitly included in the CFTDS v 1.0. However, it is implied in an implementation of the CFTDS v 1.0 that usesthe GS1 Global Location Number (GLN) for party and location identification. When the GLN is used as the SupplierIdentifier, the identification of the supplier location which produced the product is implied, because the GLN isunique to both the Supplier and the plant.
8. Conclusions and Recommendations:
The CFTDS v 1.0 was developed as a one link up/one link down model of collecting, keeping and sharingtraceability information, for purposes such as recall and complaints.
It is defines a data dictionary that includes 24 data elements. Eight of these 24 data elements are mandatory. Inorder to provide traceability the CFTDS v 1.0 states that each partner in the supply chain needs to keep or sharethe mandatory data elements and, depending on requirements of their sector, may need to keep and share someof the optional data elements.
- 28 -
The survey results’ gaps indicate that some programs do not use of all of the mandatory data elements in theCFTDS v 1.0, because the functional requirements and corresponding definitions of the data elements in thedownstream supply chain do not accommodate the functional requirements and traceability functions of the dataelements in the upstream value chain. However if the traceability functions (basic elements of traceability) of themandatory data elements are examined and compared to the traceability functions needed to satisfy the functionalrequirements of the programs, then it can be said that all of the programs incorporate the basic elements oftraceability that the mandatory data elements are intended to provide.
The survey results also indicate that some of the optional data elements are more relevant than the mandatoryones, even after the basic elements of traceability of the mandatory data elements are examined. This appliesspecifically to the livestock programs (CPC, CQM, EC and CLIA) that use a central database or registry to keep andshare their traceability data.
The basic elements of traceability recognized in the CFTDS v 1.0, include Product, Party and LocationIdentification. Traceability (tracking and tracing) is achieved as follows:
• Fundamental to tracking and tracing a product for full chain traceability is that every food componentharvested from farm or sea and through every stage of its transformation/packaging to a finishedconsumer product must be uniquely identified at each stage of transformation or possession and thatthese identifiers be linked.
• Assigning identifiers to a product, relating them to their predecessor, recording them and sharing themwith supply chain partners is the essence of traceability. As products move or are transformed by differentchain participants at different locations, new product, party and location identifiers are assigned and linkedto their predecessors.
Author’s Note: In the case of animal movement and bulk product identity preservation, the act of shipment canrepresent a stage of transformation/packaging as far as Product Identification and Product Location are concerned.
The eight existing mandatory data elements in the CFTDS v 1.0 are listed below with their intended Basic Elementsof Traceability.
Mandatory Data Element Basic Element of TraceabilityBuyer Identifier Party/LocationLot Number ProductProduct Description ProductProduct Identifier ProductQuantity ProductShipment Identifier Party/Location/ShipmentUnit of Measure ProductVendor/Supplier Identifier Party/Location
Can-Trace Integration Guidelines April 2006 - 29 -
Can-Trace Integration Guidelines April 2006
The author concludes that the reasons that the gaps exist are due to:
• The multiplicity of basic elements of traceability that some of the mandatory data elements are expectedto satisfy. A mandatory data element should satisfy one basic element of traceability.
• The use of the Buyer Identifier to establish both the Receiving Party and the Receiving Location.
• The use of the definition of Buyer as opposed to Receiver. (A downstream supply chain perspective, whichneedlessly creates a gap since the responsible party is not necessarily the owner).
• The use of the Vendor/Supplier Identifier to establish both the Sending Party and the Sending Location.
• The use of the definition of Vendor/Supplier as opposed to Sender. (A downstream supply chainperspective, which needlessly creates a gap since the responsible party is not necessarily the owner).
• The use of only the Shipment Identifier and not also the shipment information that is kept (stored) in theshipment document (manual) or database record (electronic) that the Shipment Identifier points to. Thisshipment information includes the Vehicle Identifier, the Shipment Date, the Ship from Location and theShip to Location. It should be noted that the Ship from Location and the Sending Location are the samedata element and the Ship to Location and the Receiving Location are the same data element. The ReceiptDate is collected by the Receiver and is usually kept with the Receiver’s copy of the shipment document.In the case of a manual system this would be accomplished with a date receiving stamp. In the case ofan electronic system it would be stored with the receiving database record.
• The use of the Vehicle Identifier as a temporary transactional Location Identifier by programs that trackand trace animal movement and must preserve the identity of bulk product.
• The use of the Shipment Identifier as a Product Identifier by programs for upstream product that isshipped in bulk or for livestock that is moved as a group. The definition of Lot Number should be expandedto include the Shipment Identifier where applicable.
• The definition of Shipment Date and Receipt Date should each be expanded to include the ISO 8601definition of date and time (YYYY-MM-DDThh:mm:ss).
• For some programs the Product Identifier and the Product Description do not provide a sufficient numberof data elements to meet their functional requirements. It can be argued that all of the information canbe combined as part of an expanded Product Description (e.g. including the Voucher Specimen and theRetention Sample ID in the CHSNHPC program). However since these data elements represent keyelements of data, it would be preferable if they were collected, kept and shared as individual dataelements. Providing for the use of one or two Program Definable Product Identifiers as Optional DataElements should be considered.
The author recommends that if the seamless integration of the mandatory data elements into the traceabilityrequirements of the programs is to be achieved, then the mandatory data elements must accommodate a moregeneric application of the basic elements of traceability and Shipment Identification must be recognized as a basicelement of traceability on par with Product, Party and Location Identification.
- 30 -
The author recommends that if the seamless integration of the mandatory data elements into the traceabilityrequirements of the programs is to be achieved, then the following mandatory data elements should beconsidered.
Basic Mandatory Data Element Element of Comments
Traceability
Sender Identifier Party Change definition from VendorReceiver Identifier Party Change definition from BuyerShip To Location Identifier Location Move from optionalShip From Location Identifier Location Move from optionalLot Number Product Include use of Shipment IDProduct Description ProductProduct Identifier ProductQuantity ProductUnit of Measure ProductShipment Identifier Shipment Pointer to database or
manually kept record(s) that contain all of the necessary shipment data
Since not all programs require the use of the Vehicle Identifier, Shipment Date and Receipt Date, then these dataelements should remain as Optional Data Elements, which an individual program may deem to be mandatory inorder to satisfy its functional requirements.
The definitions of the Shipment Date and Receipt Date can be expanded to include time as per the ISO 8601definition.
One or two Program Definable Product Identifier(s) can be added as Optional Data Elements, which an individualprogram may deem to be mandatory in order to satisfy its functional requirements.
Where a program uses a central database, the Can-Trace Standard’s Data Attribute Definitions should recognizethat the Party and Location Identifiers also serve the traceability function of being pointers to database recordsthat contain other required data such as contact information. This is similar to an implementation of the CFTDS v1.0 that uses the GS1 global standards for party and location identification. In this case, the GLN (Global LocationNumber) is used as a pointer to a central database record that contains all of the contact information associatedwith the GLN.
Where a livestock program uses a unique animal identifier as a Product Identifier then the Can-Trace Standard’sData Attribute Definitions should recognize that the Product Identifier also serves the traceability function of beinga pointer to a database record that contains other required information. This example is similar to how thedownstream supply chain uses the Global Trade Item Number (GTIN) as a unique product identifier to synchronizeproduct attribute data using ECCnet Registry, Canada's national product registry, which is provided by GS1 Canada.
In summary the mandatory data elements in the Can-Trace standard should be as generic as possible so that thedifferent data definitions used by individual sectors do not create an impediment to the seamless integration of
Can-Trace Integration Guidelines April 2006 - 31 -
Can-Trace Integration Guidelines April 2006
the standard. The Can-Trace standard should endeavor as much as possible to use terms and definitions whichreflect only the basic elements of traceability and should only include the minimum number of mandatoryidentifiers that are required in common across all sectors. The Can-Trace data dictionary, including both itsmandatory and optional data elements, should be a “master set” of traceability data elements from which eachsector can select data elements to build its own unique subset.
As an added comment, food safety or food quality attributes such as Animal Age should not be included in theCan-Trace Data Dictionary, since they are not basic elements of traceability.
Comment Regarding the FSEP:
The FSEP Establishment Registration Number indicates that a data element, which explicitly identifies the“Production Location”, may need to be included in the Can-Trace Data Dictionary.
- 32 -
Appendix A:Summary of the Canadian Food Traceability Data StandardVersion 1.0
Important Definitions
What is traceability?Can-Trace uses the ISO definition of traceability.
Traceability is the ability to trace the history, application or location of that which is underconsideration.
For additional clarity, Can-Trace further defines traceability as being made up of two components: tracking andtracing.
What is tracking?Tracking is the capability to follow the path of a specified unit and/or lot of trade items downstream through thesupply chain as it moves between trading partners. Trade items are tracked routinely for availability, inventorymanagement and logistical purposes. In the context of this standard, the focus is on tracking items from the pointof origin to the point of use.
What is tracing?Tracing is the capability to identify the origin of a particular unit located within the supply chain by reference torecords held upstream in the supply chain. Units are traced for purposes such as recall and complaints.
Each partner in the supply chain needs to keep or share the mandatory elements and, depending on requirementsof their sector, may need to keep and share some of the optional elements.
Basic elements of traceability
Product, Party and Location Identification
Fundamental to tracking and tracing a product for full chain traceability is that every food component harvestedfrom farm or sea and through every stage of its transformation/packaging to a finished consumer product mustbe uniquely identified at each stage of transformation or possession and that these identifiers be linked.
Assigning identifiers to a product, relating them to their predecessor, recording them and sharingthem with supply chain partners is the essence of traceability. As products move or are transformedby different chain participants at different locations, new product, party and location identifiers areassigned and linked to their predecessors.
There are many ways to assign, record and store identifiers. The Can-Trace standard provides for the use of GS1global standards for product, party and location identification. This standard applies to all activities from farm orsea to back door of retail or foodservice establishments.
It is recognized that there are existing investments in individual animal, group, herd or flock identification systemssuch as the Canadian Cattle Identification Agency. These animal identifiers can be linked to the GS1 identifiers inthe rest of the supply chain.
Can-Trace Integration Guidelines April 2006 - 33 -
Can-Trace Integration Guidelines April 2006
Linking of InformationTo ensure the continuity of the flow of traceability information, each partner must pass on information about theidentified lot or product group to the next partner in the production chain.
It is imperative that the links between the lots and the logistical units (resulting from a product transformation)are recorded. Within a company, the control of all these links and accurate record keeping make it possible toconnect what has been received and what has been produced and/or shipped.
If one of the stakeholders in the chain fails to manage these links the result is a loss of traceability.
Recording of InformationEffective traceability requires standardizing the information that needs to be recorded through each step of thefood production and distribution chain.
The end result is standardized data representing all of the information necessary to collect, keep and share in orderto effectively track and trace. The Can-Trace Standard data represents generic information common to allcommodities.
The Can-Trace Standard defines the data requirements; it does not define how this standard should beimplemented.
Can-Trace Data StandardData Types:There are two types of data required for traceability: Master and Transactional data.
Master data is information that seldom changes. Master data applies to product, party and location information.It includes information such as product description, buyer identifier, location etc.
Transactional data is data that is unique to each individual transaction. Examples include lot number, shipmentidentifier and shipment date.
Data Usage:
As the name implies, mandatory data refers to the information that all supply chain partners areobliged to collect, keep, or share. Optional data are additional pieces of information that are useful butnot essential.
- 34 -
Mandatory Data Elements:
Can-Trace Integration Guidelines April 2006 - 35 -
NoData
AttributeName
Data Attribute Definition
3 Buyer Identifier A number or code that uniquely represents the party purchasing the product.
9 Lot Number A number or code assigned to uniquely represent a batch or group of inputs, products, and/or outputs. The Number is generally assigned by the company or individual creating the goods.
10 ProductDescription
A description of the product without any pre-defined format.
11 ProductIdentifier
A number or code that uniquely represents a commercial trade Item.
For Farm product: the product identifier uniquely distinguishes individual units of production (eg. animal, bin, catch, flock).
For processed or finished goods: the product identifier represents a seller's retail trade item (or product); or non-retail trade item (such as the case or master carton).
12 Quantity Count, net weight, or net volume of product (trade item) identified. (For a list of some common unit of measure codes, see Appendix G)
17 ShipmentIdentifier
A number or code that uniquely distinguishes a shipment of product. May be linked to a lot number.
20 Unit of Measure Description of the units in which a quantity is being expressed.
Note: Where this measure is used to describe weight, volume or count, a "net" value is applied. The term Net is taken to mean the product exclusive of its container or packaging.
Please refer to Appendix G for a list of common Unit of Measure codes.
23 Vendor/SupplierIdentifier
A number or code that uniquely represents the party selling the product.
Can-Trace Integration Guidelines April 2006
Optional Data Elements:
- 36 -
No Data Attribute Name Data Attribute Definition
1 Animal Age The birth date of the animal.
2 Best Before Date Product is the freshest to this date.
4 Buyer Name The name of the party purchasing the product
5 Contact Information The company contact information
6 Country of Origin, Province or State
The country in which the goods have been packed, processed, or manufactured. Where required includes Province or State.
Please refer to Appendix F for a list of ISO codes.
7 Date of Pack/Catch/Retirement
The date that the product was packed, in the case of fish the date caught, or in the case of livestock with an identification tag, the retirement (slaughter) date of the tag.
8 Logistics Provider Identifier
A number or code that uniquely represents a transporter, carrier, or other 3rd party logistics provider.
13 Receipt Date Date that the shipment is received at its destination.
14 Ship Date The date that goods were sent.
Traceability Functions:
Can-Trace Integration Guidelines April 2006 - 37 -
No Data Attribute Name Data Attribute Definition
15 Ship From Location Identifier
A number or code that uniquely identifies origin of the shipment. This location may be a premises, or a specific company location such as a manufacturing plant.
16 Ship To Location Identifier
A number or code that represents destination of a shipment, which may be a premises or a specific company location.
18 Shipping Container Serial Number
A seller-assigned number that uniquely representsa logistic unit (eg. case or pallet).
19 Supplier License Number
Commercial License issued to a fishing boat or vessel.
21 Unit of Trade The logistic unit of weight of the product. This is the net weight.
22 Vehicle Identifier A number or code that uniquely represents a vehicle or a vessel transporting goods.
24 Vendor/Supplier Name The name of the party selling the goods.
NoData Attribute
NameTraceability Function
BasicElement of Traceability
1 Animal Age A food safety and quality attribute. E.g. Used for Bovine Encephalopathy (BSE), also called mad cow disease.
2 Best Before Date A food safety/food quality attribute which is sometimes used as the lot number to identify product in the event of a recall or food safety issue.
Product
3 Buyer Identifier Used to identify the responsible party (owner and/or receiver) to contact in the event of a recall, food safety or animal health issue.
Party/Location
4 Buyer Name Used to identify the responsible party (owner and/or receiver) to contact in the event of a recall, food safety or animal health issue.
Party
Can-Trace Integration Guidelines April 2006
- 38 -
5 Contact Information Name of the individual(s) to contact in the event of a recall, food safety or animal health issue and their co-ordinates.
Party
6 Country of Origin, Province or State
Used for market access where the country of origin is a regulatory issue.
7 Date of Pack/Catch/Retirement
A food safety/food quality attribute which is sometimes used as the lot number to identify product in the event of a recall or food safety issue.
Product
8 Logistics Provider Identifier
Used to identify the responsible party who handles the goods on behalf of the buyer, seller or both. Generally the sender, receiver or transporter.
Party/Location
9 Lot Number A unique ID which appears on boxes or labels and is used to track and locate product in the event of a recall or food safety issue.
Product
10 Product Description Used for product identification as a marking on the box or label. May also be used on pallet labels.
Product
11 Product Identifier Used for product identification on the box or label. May also be used for product identification on a pallet label. For livestock producers can be the Canadian Livestock Identification Agency animal identification number.
Global Item Trade Number (GTIN).
Product
12 Quantity Used to verify that all affected product can be accounted for in the event of a recall or food safety issue.
Product
13 Receipt Date May be used to find the existing location of product during a recall or food safety issue.
Location
14 Ship Date May be used to find the existing location of product during a recall or food safety issue.
Location
For packaged goods, can be the GS1
Can-Trace Integration Guidelines April 2006 - 39 -
Location15 Ship From Location Identifier
Used to identify the premises or location that product is shipped from in order to establish movement history and product location in the event of a recall, food safety or animal health issue.
For livestock producers can be the premises ID. In the GS1 System, it can be the Global Location Number (GLN).
Location16 Ship To Location Identifier
Used to identify the premises or location that product is shipped to in order to establish movement history and product location in the event of a recall, food safety or animal health issue.
For livestock producers can be the premises ID. In the GS1 System, it canbe the Global Location Number (GLN).
17 Shipment Identifier Used to establish product movement between links in the supply chain, identify the responsible party (ownership, sender, transporter, receiver) & the contact in event of a recall, food safety or animal health issue, and to determine the existing location of the product or animal.
Party/Location
18 Shipping Container Serial Number
GS1 Serial Shipping Container Code (SSCC) - Used to identify unique pallets of product shipped betweentrading partners.
Product
19 Supplier License Number
Used to identify the vehicle of conveyance, and the location of product during transit as well as the responsible party, in the event of a recall or food safety issue.
Party/Location
20 Unit of Measure Used to verify that all affected product can be accounted for in the event of a recall or food safety issue.
Product
21 Unit of Trade Used for product identification as a marking on the box or label and/or to verify that all affected product can be accounted for in the event of a recall or food safety issue.
Product
Can-Trace Integration Guidelines April 2006
- 40 -
22 Vehicle Identifier Used to identify the vehicle of conveyance, and the location of product during transit as well as the responsible party, in event of a recall, food safety or animal health issue.
Party/Location
23 Vendor/SupplierIdentifier
Used to identify the responsible party (owner and/or sender) to contact in the event of a recall, food safety or animal health issue.
Party
24 Vendor/Supplier Name Used to identify the responsible party (owner and/or sender) to contact in the event of a recall, food safety or animal health issue.
Party
Can-Trace Integration Guidelines April 2006 - 41 -
Appendix B: Survey QuestionnaireC
an-T
race
Inte
gra
tio
n W
ork
ing
Gro
up
Pro
gra
m In
form
atio
n
Co
mp
aris
on
Su
rvey
of
Man
dat
ory
Tra
ceab
ility
Dat
a E
lem
ents
Pro
gra
m N
ame:
Pro
gra
m R
epre
sen
tati
ve:
Dat
e (d
d-M
on
-yy)
:
Inst
ruct
ion
s: T
he s
urve
y qu
estio
nnai
re c
onsi
sts
of a
des
crip
tion
of th
e pr
ogra
m's
trac
eabi
lity
obje
ctiv
es a
nd tw
o se
ts o
f “y
es /
no”
ques
tions
whi
ch w
ill b
e us
ed to
iden
tify
the
pote
ntia
l gap
s. A
ne
gativ
e re
spon
se w
ill id
entif
y a
gap.
1U
sing
the
mou
se p
oint
er p
ut a
che
ck m
ark
in th
e ap
prop
riate
col
umn
(Y/N
) be
side
eac
h qu
estio
n.
2Q
uest
ion
Set
2 r
equi
res
the
prog
ram
dat
a el
emen
t nam
es to
be
ente
red
in th
e T
erm
inol
ogy
&
Fun
ctio
ns C
omm
ents
fiel
d.
3W
here
dis
crep
enci
es e
xist
bet
wee
n th
e pr
ogra
m a
nd C
an-T
race
term
inol
ogy
& fu
nctio
ns, p
leas
e pr
ovid
e de
tails
in th
e T
erm
inol
ogy
& F
unct
ion
Com
men
ts fi
eld.
Pro
gra
m T
race
abili
ty O
bje
ctiv
es:
Set
1Id
enti
fy t
he
use
of
the
Can
-Tra
ce m
anad
ato
ry d
ata
elem
ents
in t
he
pro
gra
mY
N
Ter
min
olo
gy
& F
un
ctio
ns
Co
mm
ents
?
margorp eht yb de riuqer "re ifitnedI reyuB" ,3 .on tne
mele atad eca rT -na
C eht sI1. 1. 1 1.
1.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.1.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
1.2.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 9
, "Lo
t Num
ber"
req
uire
d by
the
prog
ram
?1.
2.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.2.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
1.3.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 1
0, "
Pro
duct
Des
crip
tion"
req
uire
d by
the
prog
ram
?1.
3.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.3.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
1.4.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 1
1, "
Pro
duct
Iden
tifie
r" r
equi
red
by th
e pr
ogra
m?
1.4.
2D
oes
the
prog
ram
use
the
sam
e te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?1.
4.3
Doe
s th
e pr
ogra
m u
se th
e sa
me
trac
eabi
lity
func
tion?
1.5.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 1
2, "
Qua
ntity
" re
quire
d by
the
prog
ram
?1.
5.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.5.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
Can-Trace Integration Guidelines April 2006
- 42 -
Can
-Tra
ce In
teg
rati
on
Wo
rkin
g G
rou
p
P
rog
ram
Info
rmat
ion
1.6.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 1
7, "
Shi
pmen
t Ide
ntifi
er"
requ
ired
by th
e pr
ogra
m?
1.6.
2D
oes
the
prog
ram
use
the
sam
e te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?1.
6.3
Doe
s th
e pr
ogra
m u
se th
e sa
me
trac
eabi
lity
func
tion?
1.7.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 2
0, "
Uni
t of
Mea
sure
" re
quire
d by
the
prog
ram
?1.
7.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.7.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
1.8.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 2
3, "
Ven
dor
/ Sup
plie
r Id
entif
ier"
req
uire
d by
the
prog
ram
?1.
8.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.8.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
Set
2Id
enti
fy t
he
use
of
pro
gra
m d
ata
elem
ents
wh
ich
are
no
t m
and
ato
ry in
Can
-Tra
ce
Y
NT
erm
ino
log
y &
Fu
nct
ion
s C
om
men
ts
:tn emele atad
margor p eht seoD
. 1. 2 2.1.
1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?2.
1.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.1.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?2.
1.4
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
trac
eabi
lity
func
tion?
:tn emele atad
margor p eht seoD
. 2. 2 2.2.
1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?2.
2.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.2.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?2.
2.4
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
trac
eabi
lity
func
tion?
:tnemele atad
margorp eht seoD
.3.2 2.3.
1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?2.
3.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.3.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?2.
3.4
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
trac
eabi
lity
func
tion?
:tn emel e at ad
ma rg or p eht se oD
. 4. 2 2.4.
1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?2.
4.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.4.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?2.
4.4
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
trac
eabi
lity
func
tion?
Can-Trace Integration Guidelines April 2006 - 43 -
Can
-Tra
ce In
teg
rati
on
Wo
rkin
g G
rou
p
P
rog
ram
Info
rmat
ion
:tnemele atad
ma rgo rp eht seoD
.5.2 2.5.
1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?2.
5.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.5.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?2.
5.4
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
trac
eabi
lity
func
tion?
:tnemele atad
margorp eht seoD
.6.2 2.6.
1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?2.
6.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.6.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?2.
6.4
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
trac
eabi
lity
func
tion?
:tnemele a ta d
margo rp e ht seoD
.7.2 2.7.
1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?2.
7.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.7.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?2.
7.4
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
trac
eabi
lity
func
tion?
:tnemele a ta d
margo rp e ht seoD
.8.2 2.8.
1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?2.
8.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.8.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?2.
8.4
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
trac
eabi
lity
func
tion?
:tnemele a ta d
margo rp eht seoD
.9.2 2.9.
1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?2.
9.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.9.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?2.
9.4
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
trac
eabi
lity
func
tion?
:tnemele atad
ma rgorp eht seoD
.01.2 2.10
.1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?2.
10.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.10
.3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?2.
10.4
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
trac
eabi
lity
func
tion?
Appendix C: Survey Results
Can-Trace Integration Guidelines April 2006
- 44 -
Can-
Trac
e In
tegr
atio
n W
orki
ng G
roup
Prog
ram
Info
rmat
ion
Com
paris
on S
urve
y of
Man
dato
ry T
race
abili
ty D
ata
Elem
ents
Prog
ram
Nam
e:Ca
nadi
an Id
entit
y Pr
eser
vatio
n Re
cogn
ition
Sys
tem
Prog
ram
Rep
rese
ntat
ive:
Jo-A
nne
Suth
erla
ndD
ate
(dd-
Mon
-yy)
:18
-Nov
-05
Inst
ruct
ions
: T
he s
urve
y qu
estio
nnai
re c
onsi
sts
of a
des
crip
tion
of th
e pr
ogra
m's
trac
eabi
lity
obje
ctiv
es a
nd tw
o se
ts o
f “y
es /
no” q
uest
ions
whi
ch w
ill b
e us
ed to
iden
tify
the
pote
ntia
l gap
s. A
ne
gativ
e re
spon
se w
ill id
entif
y a
gap.
1U
sing
the
mou
se p
oint
er p
ut a
che
ck m
ark
in th
e ap
prop
riate
col
umn
(Y/N
) bes
ide
each
que
stio
n.
2Q
uest
ion
Set 2
requ
ires
the
prog
ram
dat
a el
emen
t nam
es to
be
ente
red
in th
e Te
rmin
olog
y &
Fu
nctio
ns C
omm
ents
fiel
d.
3W
here
dis
crep
enci
es e
xist
bet
wee
n th
e pr
ogra
m a
nd C
an-T
race
term
inol
ogy
& fu
nctio
ns, p
leas
e pr
ovid
e de
tails
in th
e Te
rmin
olog
y &
Fun
ctio
n Co
mm
ents
fiel
d.
Prog
ram
Tra
ceab
ility
Obj
ectiv
es:
The
CIPR
S st
anda
rd is
pro
cess
not
dat
a or
ient
ed.
The
stan
dard
des
crib
es th
e Q
MS
proc
ess
cont
rol r
ecor
ds (i
.e.
data
) to
be c
olle
cted
and
sto
red
for r
etrie
val.
The
stan
dard
is
not
pre
scrip
tive,
but
doe
s re
quire
trac
eabi
lity
and
audi
ts
to e
nsur
e th
at tr
acea
bilit
y is
in p
lace
with
in th
e co
mpa
ny's
scop
e of
ope
ratio
n.
Set 1
Iden
tify
the
use
of th
e Ca
n-Tr
ace
man
adat
ory
data
ele
men
ts in
the
prog
ram
Y N
Term
inol
ogy
& F
unct
ions
Com
men
ts
1.1.
1Is
the
Can-
Trac
e da
ta e
lem
ent n
o. 3
, "Bu
yer I
dent
ifier
" req
uire
d by
the
pro
gram
?Co
uld
be a
cus
tom
er n
umbe
r or b
uyer
nam
e.1.
1.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
The
buye
r cou
ld b
e id
entifi
ed b
y th
e co
ntra
ct n
umbe
r.1.
1.3
Doe
s th
e pr
ogra
m u
se th
e sa
me
trac
eabi
lity
func
tion?
1.2.
1Is
the
Can-
Trac
e da
ta e
lem
ent n
o. 9
, "Lo
t Num
ber"
requ
ired
by th
e pr
ogra
m?
a f o esu nia hc ylpp us lan oit ida rt eht ot noitid da nI?) noitpircs ed ro e
man at ad( ygo lonimr et e
mas e ht esu margo rp eh t s eo
D2.2.1
lot
num
ber t
he p
rodu
ct m
ust a
lso
be tr
aced
bac
k to
the
indi
vidu
ally
iden
tified
fiel
d.1.
2.3
Doe
s th
e pr
ogra
m u
se th
e sa
me
trac
eabi
lity
func
tion?
1.3.
1Is
the
Can-
Trac
e da
ta e
lem
ent n
o. 1
0, "
Prod
uct D
escr
iptio
n" re
quire
d by
the
prog
ram
?1.
3.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
The
prod
uct d
escr
iptio
n co
uld
also
incl
ude
the
seed
va
riety
as
wel
l as
addi
tiona
l cha
ract
eris
tics.
Can-Trace Integration Guidelines April 2006 - 45 -
1.3.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
fitnedi eb yam tcudorp eht ,egarots nI
?margorp eht yb deriuqer "r ei fi tn ed I tc udor
P" , 11 .o n tn em el e at ad ec ar
T- naC eht sI
1 .4 .1ie
d by
a b
in n
umbe
r, in
con
junc
tion
with
the
prod
uct d
escr
iptio
n. In
tran
spor
t the
pr
oduc
t may
be
iden
tified
by
a co
ntai
ner s
eal n
umbe
r or a
ve
hicl
e (r
ail c
ar o
f ves
sel i
d), i
n co
njun
ctio
n w
ith th
e pr
oduc
t des
crip
tion.
(See
2.1
& 2
.2)
1.4.
2D
oes
the
prog
ram
use
the
sam
e te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?1.
4.3
Doe
s th
e pr
ogra
m u
se th
e sa
me
trac
eabi
lity
func
tion?
1.5.
1Is
the
Can-
Trac
e da
ta e
lem
ent n
o. 1
2, "
Qua
ntity
" req
uire
d by
the
prog
ram
?1.
5.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.5.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
1.6.
1Is
the
Can-
Trac
e da
ta e
lem
ent n
o. 1
7, "
Ship
men
t Ide
ntifi
er" r
equi
red
by th
e pr
ogra
m?
1.6.
2D
oes
the
prog
ram
use
the
sam
e te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?1.
6.3
Doe
s th
e pr
ogra
m u
se th
e sa
me
trac
eabi
lity
func
tion?
1.7.
1Is
the
Can-
Trac
e da
ta e
lem
ent n
o. 2
0, "
Uni
t of
Mea
sure
" req
uire
d by
the
prog
ram
?1.
7.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.7.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
1.8.
1Is
the
Can-
Trac
e da
ta e
lem
ent n
o. 2
3, "
Vend
or /
Supp
lier I
dent
ifier
" req
uire
d by
the
prog
ram
?Th
e su
pplie
r cou
ld b
e id
entifi
ed b
y th
e gr
ower
con
trac
t nu
mbe
r.1.
8.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.8.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
Set 2
Iden
tify
the
use
of p
rogr
am d
ata
elem
ents
whi
ch a
re n
ot m
anda
tory
in C
an-T
race
Y
NTe
rmin
olog
y &
Fun
ctio
ns C
omm
ents
2.1.
Doe
s th
e pr
ogra
m d
ata
elem
ent:
Vehi
cle
Iden
tifier
. stne
mpih s k lub ro f r ebm un le ssev ro rac lia r a eb dl uo
C? yranoitci
D ataD ecar
T-naC eht ni tsix
E1. 1.2
Vess
els
coul
d al
so re
quire
a h
old
num
ber.
2.1.
2Is
it a
Can
-Tra
ce m
anda
tory
dat
a el
emen
t ?2.
1.3
Doe
s th
e pr
ogra
m u
se th
e Ca
n-Tr
ace
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
22 rebmun tn e
mele - r eif itn edI elcih eV
?n oit cnu f y tili baecart ecarT -n a
C eh t esu margo rp eh t se o
D4 .1.2 2.
2.D
oes
the
prog
ram
dat
a el
emen
t:Sh
ippi
ng C
onta
iner
Sea
l Num
ber
81 rebmun tne
mele - rebmu
N laireS reniatno
C gnippihS
? yranoi tciD ata
D ecarT -na
C eh t ni tsixE
1 .2.2 2.2.
2Is
it a
Can
-Tra
ce m
anda
tory
dat
a el
emen
t ?2.
2.3
Doe
s th
e pr
ogra
m u
se th
e Ca
n-Tr
ace
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
2.2.
4D
oes
the
prog
ram
use
the
Can-
Trac
e tr
acea
bilit
y fu
nctio
n?Id
entifi
es th
e sh
ippi
ng c
onta
ine
r
Can-Trace Integration Guidelines April 2006
- 46 -
Can-
Trac
e In
tegr
atio
n W
orki
ng G
roup
Prog
ram
Info
rmat
ion
Com
paris
on S
urve
y of
Man
dato
ry T
race
abili
ty D
ata
Elem
ents
Prog
ram
Nam
e:Ca
nadi
an P
ork
Coun
cil
Prog
ram
Rep
rese
ntat
ive:
Fran
çois
Béd
ard
Dat
e (d
d-M
on-y
y):
15-N
ov-0
5
Inst
ruct
ions
: T
he s
urve
y qu
estio
nnai
re c
onsi
sts
of a
des
crip
tion
of th
e pr
ogra
m's
trac
eabi
lity
obje
ctiv
es a
nd tw
o se
ts o
f “y
es /
no” q
uest
ions
whi
ch w
ill b
e us
ed to
iden
tify
the
pote
ntia
l gap
s. A
ne
gativ
e re
spon
se w
ill id
entif
y a
gap.
1U
sing
the
mou
se p
oint
er p
ut a
che
ck m
ark
in th
e ap
prop
riate
col
umn
(Y/N
) bes
ide
each
que
stio
n.
2Q
uest
ion
Set 2
requ
ires
the
prog
ram
dat
a el
emen
t nam
es to
be
ente
red
in th
e Te
rmin
olog
y &
Fu
nctio
ns C
omm
ents
fiel
d.
3W
here
dis
crep
enci
es e
xist
bet
wee
n th
e pr
ogra
m a
nd C
an-T
race
term
inol
ogy
& fu
nctio
ns, p
leas
e pr
ovid
e de
tails
in th
e Te
rmin
olog
y &
Fun
ctio
n Co
mm
ents
fiel
d.
Prog
ram
Tra
ceab
ility
Obj
ectiv
es:
The
CPC
is d
evel
opin
g a
trac
eabi
lity
syst
em to
trac
k sw
ine
mov
emen
t fro
m b
irth
to s
laug
hter
. The
pur
pose
s of
th
e sy
stem
are
to:
1. M
inim
ize
the
impa
ct o
f a fo
od s
afet
y cr
isis
or a
fore
ign
or d
omes
tic a
nim
al d
isea
se o
utbr
eak.
2.
Rein
forc
e ou
r dom
estic
and
exp
ort m
arke
t acc
ess
3.
Impr
ove
com
petit
iven
ess.
Set 1
Iden
tify
the
use
of th
e Ca
n-Tr
ace
man
adat
ory
data
ele
men
ts in
the
prog
ram
Y N
Term
inol
ogy
& F
unct
ions
Com
men
ts
retni fo reifitnedi eht metsys
CP
C eht nI?
margo rp eh t yb deriuq er "reifit nedI reyuB" ,3 .o n tne
mele atad ecarT-na
C eht sI1. 1. 1
est i
s th
e lo
catio
n (p
rem
ise)
to w
hich
the
anim
al is
shi
pped
. Thi
s is
due
to
the
fact
that
the
indu
stry
has
ver
tical
ly in
tegr
ated
sys
tem
s an
d an
ani
mal
can
be
ship
ped
from
one
loca
tion
to
anot
her,
with
no
chan
ge in
ow
ners
hip.
The
"Con
tact
" is
iden
tified
by
the
prem
ise
ID re
cord
whi
ch is
regi
ster
ed in
a
cent
ral d
atab
ase.
1.1.
2D
oes
the
prog
ram
use
the
sam
e te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?1.
1.3
Doe
s th
e pr
ogra
m u
se th
e sa
me
trac
eabi
lity
func
tion?
Can-Trace Integration Guidelines April 2006 - 47 -
eno morf rehtegot devo
m si taht slamina fo puorg
A?
margorp eh t yb deriu q er "r ebmu
N t oL " , 9 .o n t n em el e ata d eca r
T- naC e ht sI
1 .2. 1pr
emis
e to
ano
ther
pre
mis
e sh
are
a nu
mbe
r w
hich
id
entif
ies
the
grou
p. T
his
num
ber
is r
egis
tere
d in
a c
entr
al
data
base
. How
ever
in m
ost c
ases
ther
e is
no
phys
ical
id
entif
ier
of th
is g
roup
that
is p
lace
d on
the
anim
als
them
selv
es. T
he e
xcep
tion
wou
ld b
e a
slap
sho
ulde
r ta
too
whi
ch is
pla
ced
on a
nim
als
sent
to s
laug
hter
. See
S
hipm
ent I
dent
ifier
1.2.
2D
oes
the
prog
ram
use
the
sam
e te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
? tne
mevom eht elicnocer ot reifitnedi tne
mevom a sa des
U?noi tcn uf yti lib aec art e
mas eht esu ma rgorp eht seo
D3. 2. 1
of a
gro
up o
f ani
mal
s fr
om o
ne p
rem
ise
to a
noth
er. U
nlik
e a
proc
esso
r's lo
t num
ber
whe
re e
ach
unit
that
bel
ongs
to
the
lot s
hare
s th
e sa
me
prod
uctio
n at
trib
utes
, an
anim
al
will
bel
ong
to a
diff
eren
t gro
up n
umbe
r ea
ch ti
me
that
it is
m
oved
.
a naht lam ina fo ss alc a fo ero
m si si ht m etsys
CP
C e ht nI?
margorp eht y b d er iuqer " noi tpi rcseD tcu do r
P" ,01 .on tnemele at ad ec ar
T- n aC e ht sI
1. 3. 1pr
oduc
t des
crip
tion.
e.g
. wee
ner,
mar
ket h
og, e
tc.
1.3.
2D
oes
the
prog
ram
use
the
sam
e te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?1.
3.3
Doe
s th
e pr
ogra
m u
se th
e sa
me
trac
eabi
lity
func
tion?
n a y fitn edi y leu qin u ot de su si no itacif itn edI lami n
A?
margorp eht yb deriuqer "reifitnedI tcudorP" ,11 .on tne
mele ata d ecarT -n a
C e ht sI1. 4. 1
indi
vidu
al a
nim
al fo
r sp
ecifi
c m
ovem
ents
, suc
h as
co-
min
glin
g of
ani
mal
s w
here
the
final
des
tinat
ion
or n
ext
dest
inat
ion
is u
nkno
wn
e.g.
auc
tion,
sho
w, t
est s
tatio
n,
etc.
1.4.
2D
oes
the
prog
ram
use
the
sam
e te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
? ereh
w ,tnemevo
m lamina fo sepyt niatrec rof ylno tub se
Y?noi tc nuf yti libaecar t e
mas eh t esu margo rp eh t seo
D3 .4. 1
the
dest
inat
ion
prem
ise
is n
ot k
now
n at
the
time
of
ship
men
t.
1.5.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 1
2, "
Qua
ntity
" re
quire
d by
the
prog
ram
?1.
5.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
? noi tc nuf yti libaecar t e
mas eh t esu margo rp eht seo
D3 .5. 1
fo puorg a y fi tned i ot de su s i reifi tne di t nem pihs eh
T?
margorp eht yb deriuq er "reifit nedI tnempih
S" ,71 .o n tnemele atad ecar
T-naC eht sI
1.6.1an
imal
s th
at a
re m
oved
toge
ther
, at t
he s
ame
time,
on
the
sam
e ve
hicl
e of
con
veya
nce,
from
one
Pre
mis
e ID
to
anot
her
Pre
mis
e ID
.1.
6.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.6.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
1.7.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 2
0, "
Uni
t of
Mea
sure
" re
quire
d by
the
prog
ram
?
Can-Trace Integration Guidelines April 2006
- 48 -
1.7.
2D
oes
the
prog
ram
use
the
sam
e te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?1.
7.3
Doe
s th
e pr
ogra
m u
se th
e sa
me
trac
eabi
lity
func
tion?
1.8.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 2
3, "
Ven
dor
/ Sup
plie
r Id
entif
ier"
req
uire
d by
the
prog
ram
?In
the
CP
C s
yste
m th
e id
entif
ier
of in
tere
st is
the
loca
tion
(pre
mis
e) fr
om w
hich
the
anim
al is
shi
pped
. Thi
s is
due
to
the
fact
that
the
indu
stry
has
ver
tical
ly in
tegr
ated
sys
tem
s an
d an
ani
mal
can
be
ship
ped
from
one
loca
tion
to
anot
her,
with
no
chan
ge in
ow
ners
hip.
The
"C
onta
ct"
is
iden
tifie
d by
the
prem
ise
ID r
ecor
d w
hich
is r
egis
tere
d in
a
cent
ral d
atab
ase.
1.8.
2D
oes
the
prog
ram
use
the
sam
e te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?1.
8.3
Doe
s th
e pr
ogra
m u
se th
e sa
me
trac
eabi
lity
func
tion?
Set
2Id
enti
fy t
he
use
of
pro
gra
m d
ata
elem
ents
wh
ich
are
no
t m
and
ato
ry in
Can
-Tra
ce
Y
NT
erm
ino
log
y &
Fu
nct
ion
s C
om
men
ts
2.1.
D
oes
the
prog
ram
dat
a el
emen
t:
C
onve
yanc
e Id
entif
ier
2.1.
1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?V
ehic
le Id
entif
ier
- el
emen
t num
ber
222.
1.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
.relia rt eht fo eta lp esn ec il eht eb t suM
?)no itpircsed ro ema n atad( ygolon i
mret ec arT -na
C eh t esu margo rp eht s eo
D3. 1. 2 2.
1.4
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
trac
eabi
lity
func
tion?
2.2.
D
oes
the
prog
ram
dat
a el
emen
t:
D
ate
of S
hipm
ent
2.2.
1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?S
hip
Dat
e -
elem
ent n
umbe
r 14
2.2.
2Is
it a
Can
-Tra
ce m
anda
tory
dat
a el
emen
t ?2.
2.3
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
2.2.
4D
oes
the
prog
ram
use
the
Can
-Tra
ce tr
acea
bilit
y fu
nctio
n?
2.3.
D
oes
the
prog
ram
dat
a el
emen
t:
D
ate
of R
ecei
pt2.
3.1
Exi
st in
the
Can
-Tra
ce D
ata
Dic
tiona
ry ?
Rec
eipt
Dat
e -
elem
ent n
umbe
r 13
2.3.
2Is
it a
Can
-Tra
ce m
anda
tory
dat
a el
emen
t ?2.
3.3
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
?noit cnu f y tilib aecart ecar
T -naC eh t esu
margo rp eh t seoD
4.3. 2 2.4.
D
oes
the
prog
ram
dat
a el
emen
t:
T
ime
of S
hipm
ent
2.4.
1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?2.
4.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.4.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?2.
4.4
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
trac
eabi
lity
func
tion?
2.5.
D
oes
the
prog
ram
dat
a el
emen
t:
T
ime
of R
ecei
pt2.
5.1
Exi
st in
the
Can
-Tra
ce D
ata
Dic
tiona
ry ?
2.5.
2Is
it a
Can
-Tra
ce m
anda
tory
dat
a el
emen
t ?2.
5.3
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
2.5.
4D
oes
the
prog
ram
use
the
Can
-Tra
ce tr
acea
bilit
y fu
nctio
n?
Can-Trace Integration Guidelines April 2006 - 49 -
2.6.
D
oes
the
prog
ram
dat
a el
emen
t:
P
rem
ise
ID o
f Shi
pmen
t Orig
in51 reb
mun tnemele - reifitnedI noitacoL
morF pih
S? yra noi tc i
D a taD ecar
T -naC eh t n i ts ix
E1 .6. 2 2.
6.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.6.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
? n i derots si taht esi
merp hcae ot dengissa rebmun euqin
U?noi tcnu f yt ilib aecart ecar
T -naC eh t es u
margo rp eht seoD
4 .6.2a
cent
ral r
egis
try
(CLI
A).
2.7.
D
oes
the
prog
ram
dat
a el
emen
t:
P
rem
ise
ID o
f Shi
pmen
t Des
tinat
ion
61 rebmun tne
mele - reifitnedI noitacoL oT pih
S? yr anoi tci
D ataD ecar
T-n aC eh t ni tsix
E1 .7.2 2.
7.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.7.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
? ni derots si taht esi
merp hcae ot dengissa rebmun euqin
U?no itcnu f ytilibaecart ecar
T -n aC eht esu
marg or p eht seoD
4.7.2a
cent
ral r
egis
try
(CLI
A).
Can-Trace Integration Guidelines April 2006
- 50 -
Can
-Tra
ce In
teg
rati
on
Wo
rkin
g G
rou
p
P
rog
ram
Info
rmat
ion
Co
mp
aris
on
Su
rvey
of
Man
dat
ory
Tra
ceab
ility
Dat
a E
lem
ents
Pro
gra
m N
ame:
Dai
ry F
arm
ers
of C
anad
a C
anad
ian
Qua
lity
Milk
Pro
gram
Pro
gra
m R
epre
sen
tati
ve:
Nic
ole
Sill
ett
Dat
e (d
d-M
on
-yy)
:23
-Nov
-05
Inst
ruct
ion
s: T
he s
urve
y qu
estio
nnai
re c
onsi
sts
of a
des
crip
tion
of th
e pr
ogra
m's
trac
eabi
lity
obje
ctiv
es a
nd tw
o se
ts o
f “y
es /
no”
ques
tions
whi
ch w
ill b
e us
ed to
iden
tify
the
pote
ntia
l gap
s. A
ne
gativ
e re
spon
se w
ill id
entif
y a
gap.
1U
sing
the
mou
se p
oint
er p
ut a
che
ck m
ark
in th
e ap
prop
riate
col
umn
(Y/N
) be
side
eac
h qu
estio
n.
2Q
uest
ion
Set
2 r
equi
res
the
prog
ram
dat
a el
emen
t nam
es to
be
ente
red
in th
e T
erm
inol
ogy
&
Fun
ctio
ns C
omm
ents
fiel
d.
3W
here
dis
crep
enci
es e
xist
bet
wee
n th
e pr
ogra
m a
nd C
an-T
race
term
inol
ogy
& fu
nctio
ns, p
leas
e pr
ovid
e de
tails
in th
e T
erm
inol
ogy
& F
unct
ion
Com
men
ts fi
eld.
Pro
gra
m T
race
abili
ty O
bje
ctiv
es:
The
CQ
M r
equi
res
trac
eabi
lity
in a
ccor
danc
e w
ith A
TQ
re
gula
tions
in Q
uebe
c an
d in
acc
orda
nce
with
CC
IA
regu
latio
ns in
the
rest
of C
anad
a. In
add
ition
the
CQ
M
requ
ires
the
uniq
ue id
entif
icat
ion
of e
ach
anim
al o
n th
e fa
rm fo
r th
e pu
rpos
e of
rec
ordi
ng e
ach
anim
al's
trea
tmen
t hi
stor
y. It
sho
uld
be n
oted
that
the
answ
ers
to th
e su
rvey
qu
estio
ns r
efle
ct th
e m
inim
um r
equi
rem
ents
of t
he C
CIA
re
gula
tions
and
not
thos
e of
the
AT
Q. I
f the
gap
s w
ere
to
be id
entif
ied
in c
ompa
rison
with
the
AT
Q r
egul
atio
ns th
en
the
resp
onse
s to
the
surv
ey q
uest
ions
wou
ld b
e di
ffere
nt.
Set
1Id
enti
fy t
he
use
of
the
Can
-Tra
ce m
anad
ato
ry d
ata
elem
ents
in t
he
pro
gra
mY
N
Ter
min
olo
gy
& F
un
ctio
ns
Co
mm
ents
?
margo rp eh t yb deriuqer "reif itn edI reyuB" ,3 .on tne
mele atad ec arT-na
C eht sI1 .1 .1 1.
1.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.1.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
1.2.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 9
, "Lo
t Num
ber"
req
uire
d by
the
prog
ram
?1.
2.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.2.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
1.3.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 1
0, "
Pro
duct
Des
crip
tion"
req
uire
d by
the
prog
ram
?1.
3.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.3.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
Can-Trace Integration Guidelines April 2006 - 51 -
1.4.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 1
1, "
Pro
duct
Iden
tifie
r" r
equi
red
by th
e pr
ogra
m?
1.4.
2D
oes
the
prog
ram
use
the
sam
e te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?A
nim
al id
entif
icat
ion
num
ber.
Not
e in
the
CQ
M p
rogr
am
this
cou
ld b
e th
e pr
oduc
er's
tag
or ID
, sin
ce th
e C
CIA
re
gula
tions
onl
y re
quire
the
anim
al to
be
iden
tifie
d be
fore
it
leav
es th
e fa
rm o
f orig
in.
1.4.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?C
CIA
& u
niqu
e pr
oduc
er ta
g or
ID
1.5.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 1
2, "
Qua
ntity
" re
quire
d by
the
prog
ram
?H
ead
coun
t is
requ
ired
(by
defa
ult 1
per
uni
t)1.
5.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.5.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
1.6.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 1
7, "
Shi
pmen
t Ide
ntifi
er"
requ
ired
by th
e pr
ogra
m?
1.6.
2D
oes
the
prog
ram
use
the
sam
e te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?1.
6.3
Doe
s th
e pr
ogra
m u
se th
e sa
me
trac
eabi
lity
func
tion?
1.7.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 2
0, "
Uni
t of
Mea
sure
" re
quire
d by
the
prog
ram
?1.
7.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.7.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
1.8.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 2
3, "
Ven
dor
/ Sup
plie
r Id
entif
ier"
req
uire
d by
the
prog
ram
?1.
8.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.8.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?F
or th
e pu
rpos
e of
iden
tifyi
ng th
e fa
rm o
f orig
in, n
ot th
e tr
ansf
er o
f ow
ners
hip.
Set
2Id
enti
fy t
he
use
of
pro
gra
m d
ata
elem
ents
wh
ich
are
no
t m
and
ato
ry in
Can
-Tra
ce
Y
NT
erm
ino
log
y &
Fu
nct
ion
s C
om
men
ts
:tnemele atad
margorp eht s eoD
.1.2F
arm
of O
rigin
Con
tact
Info
rmat
ion
2.1.
1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?C
onta
ct in
form
atio
n -
elem
ent n
umbe
r 5
2.1.
2Is
it a
Can
-Tra
ce m
anda
tory
dat
a el
emen
t ?2.
1.3
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
2.1.
4D
oes
the
prog
ram
use
the
Can
-Tra
ce tr
acea
bilit
y fu
nctio
n?
Can-Trace Integration Guidelines April 2006
- 52 -
Can
-Tra
ce In
teg
rati
on
Wo
rkin
g G
rou
p
P
rog
ram
Info
rmat
ion
Co
mp
aris
on
Su
rvey
of
Man
dat
ory
Tra
ceab
ility
Dat
a E
lem
ents
Pro
gra
m N
ame:
Equ
ine
Can
ada
Pro
gra
m R
epre
sen
tati
ve:
Vel
Eva
nsD
ate
(dd
-Mo
n-y
y):
15-N
ov-0
5
Inst
ruct
ion
s: T
he s
urve
y qu
estio
nnai
re c
onsi
sts
of a
des
crip
tion
of th
e pr
ogra
m's
trac
eabi
lity
obje
ctiv
es a
nd tw
o se
ts o
f “y
es /
no”
ques
tions
whi
ch w
ill b
e us
ed to
iden
tify
the
pote
ntia
l gap
s. A
ne
gativ
e re
spon
se w
ill id
entif
y a
gap.
1U
sing
the
mou
se p
oint
er p
ut a
che
ck m
ark
in th
e ap
prop
riate
col
umn
(Y/N
) be
side
eac
h qu
estio
n.
2Q
uest
ion
Set
2 r
equi
res
the
prog
ram
dat
a el
emen
t nam
es to
be
ente
red
in th
e T
erm
inol
ogy
&
Fun
ctio
ns C
omm
ents
fiel
d.
3W
here
dis
crep
enci
es e
xist
bet
wee
n th
e pr
ogra
m a
nd C
an-T
race
term
inol
ogy
& fu
nctio
ns, p
leas
e pr
ovid
e de
tails
in th
e T
erm
inol
ogy
& F
unct
ion
Com
men
ts fi
eld.
Pro
gra
m T
race
abili
ty O
bje
ctiv
es:
To
supp
ort t
he e
cono
mic
sus
tain
abili
ty o
f the
Can
adia
n E
quin
e se
ctor
with
a n
atio
nal e
quin
e id
entif
icat
ion
and
trac
king
sys
tem
that
: 1. M
inim
izes
the
risk
& im
pact
of
cont
agio
us d
isea
se o
utbr
eaks
eith
er fo
r an
imal
hea
lth
emer
genc
ies
affe
ctin
g ho
rses
or
othe
r liv
esto
ck in
Can
ada
or h
uman
hea
lth.
2. M
eets
inte
rnat
iona
l sta
ndar
ds fo
r eq
uine
ID &
mov
emen
t tra
ckin
g as
req
uire
d to
ens
ure
cont
inue
d in
tern
atio
nal m
ovem
ent f
or C
anad
ian
hors
es fo
r sp
ort b
reed
ing
& r
ecre
atio
n. 3
. Pro
vide
s th
e re
port
ing
infr
astr
uctu
re to
rec
ord
heal
th s
tatu
s at
the
time
of
slau
ghte
r af
fect
ing
mea
t qua
lity
& s
afet
y fo
r ho
rses
as
food
ani
mal
s as
req
uire
d by
cur
rent
& fu
ture
reg
ulat
ions
.
Set
1Id
enti
fy t
he
use
of
the
Can
-Tra
ce m
anad
ato
ry d
ata
elem
ents
in t
he
pro
gra
mY
N
Ter
min
olo
gy
& F
un
ctio
ns
Co
mm
ents
?
margo rp eht yb de riuq er " rei fit ned I reyuB" ,3 .o n tne
mele a tad ecarT -na
C eh t s I1.1.1 1.
1.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.1.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
s esro h r of desu eb lliw
D I lau di vid ni euq in u yl nO
?margorp eht yb deriuqer "reb
muN toL" ,9 .on tne
mele atad ecarT-na
C eht sI1.2.1 1.
2.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.2.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
Can-Trace Integration Guidelines April 2006 - 53 -
1.3.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 1
0, "
Pro
duct
Des
crip
tion"
req
uire
d by
the
prog
ram
?1.
3.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.3.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
rebmu
N efiL eniuqE euqin
U - NL
EU
?margorp eht yb d er iu qer "reifit nedI tcu d or
P " ,1 1 .o n t n eme l e a ta d e ca r
T -n aC e ht s I
1. 4. 1 1.4.
2D
oes
the
prog
ram
use
the
sam
e te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?1.
4.3
Doe
s th
e pr
ogra
m u
se th
e sa
me
trac
eabi
lity
func
tion?
?
margorp eht yb d er iu qe r "y titn auQ" ,2 1 .o n t n e
m el e ata d e ca rT- na
C eht sI1 .5 .1 1.
5.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.5.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
tropsnart yrotadnam a si ereht ereh
W?
margorp eh t yb deriu qe r "reifi tnedI tnemp ih
S" ,71 .on tnem el e at ad e car
T- naC eh t sI
1 .6 .1m
anife
st r
equi
red,
th
is w
ill b
e co
nsid
ered
to b
e th
e S
hipm
ent I
dent
ifier
.
1.6.
2D
oes
the
prog
ram
use
the
sam
e te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?1.
6.3
Doe
s th
e pr
ogra
m u
se th
e sa
me
trac
eabi
lity
func
tion?
1.7.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 2
0, "
Uni
t of
Mea
sure
" re
quire
d by
the
prog
ram
?1.
7.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.7.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
1.8.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 2
3, "
Ven
dor
/ Sup
plie
r Id
entif
ier"
req
uire
d by
the
prog
ram
?1.
8.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.8.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
Set
2Id
enti
fy t
he
use
of
pro
gra
m d
ata
elem
ents
wh
ich
are
no
t m
and
ato
ry in
Can
-Tra
ce
Y
NT
erm
ino
log
y &
Fu
nct
ion
s C
om
men
ts
2.1.
Doe
s th
e pr
ogra
m d
ata
elem
ent:
Con
veya
nce
Iden
tifie
r2.
1.1
Exi
st in
the
Can
-Tra
ce D
ata
Dic
tiona
ry ?
Veh
icle
Iden
tifie
r -
elem
ent n
umbe
r 22
2.1.
2Is
it a
Can
-Tra
ce m
anda
tory
dat
a el
emen
t ?. re liart eht fo etal p esn eci l e ht eb tsu
M? )noit pircsed ro e
man ata d( ygolonim re t ecar
T-naC eht esu
margorp eht seoD
3.1.2 2.1.
4D
oes
the
prog
ram
use
the
Can
-Tra
ce tr
acea
bilit
y fu
nctio
n?
2.2.
Doe
s th
e pr
ogra
m d
ata
elem
ent:
Dat
e of
Shi
pmen
t2.
2.1
Exi
st in
the
Can
-Tra
ce D
ata
Dic
tiona
ry ?
Shi
p D
ate
- el
emen
t num
ber
142.
2.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.2.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?2.
2.4
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
trac
eabi
lity
func
tion?
2.3.
Doe
s th
e pr
ogra
m d
ata
elem
ent:
Dat
e of
Rec
eipt
2.3.
1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?R
ecei
pt D
ate
- el
emen
t num
ber
132.
3.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
Can-Trace Integration Guidelines April 2006
- 54 -
2.3.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?
? noi tc n uf yt i liba eca rt eca rT- na
C eht es u m ar g or p e ht seo
D4.3 .2 2.
4.
Doe
s th
e pr
ogra
m d
ata
elem
ent:
Tim
e of
Shi
pmen
t2.
4.1
Exi
st in
the
Can
-Tra
ce D
ata
Dic
tiona
ry ?
2.4.
2Is
it a
Can
-Tra
ce m
anda
tory
dat
a el
emen
t ?2.
4.3
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
2.4.
4D
oes
the
prog
ram
use
the
Can
-Tra
ce tr
acea
bilit
y fu
nctio
n?
2.5.
D
oes
the
prog
ram
dat
a el
emen
t:
T
ime
of R
ecei
pt2.
5.1
Exi
st in
the
Can
-Tra
ce D
ata
Dic
tiona
ry ?
2.5.
2Is
it a
Can
-Tra
ce m
anda
tory
dat
a el
emen
t ?2.
5.3
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
2.5.
4D
oes
the
prog
ram
use
the
Can
-Tra
ce tr
acea
bilit
y fu
nctio
n?
2.6.
D
oes
the
prog
ram
dat
a el
emen
t:
P
rem
ise
ID o
f Shi
pmen
t Orig
in51 r eb
mun tn eme le - reifit nedI no itaco L
morF pih
S? yranoitci
D ataD ecar
T- naC e ht n i ts ix
E1.6 .2 2.
6.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.6.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
? ni derots si taht esi
merp hcae ot dengissa rebmun euqin
U?noi tcnuf ytiliba ec ar t ecar
T-naC e ht esu
margorp e ht s eoD
4. 6. 2a
cent
ral r
egis
try
(CLI
A).
2.7.
D
oes
the
prog
ram
dat
a el
emen
t:
P
rem
ise
ID o
f Shi
pmen
t Des
tinat
ion
61 rebmun tne
mele - reifitnedI noitacoL mor
F pihS
? yra noitciD a ta
D ec arT-na
C e ht ni ts ixE
1 .7. 2 2.7.
2Is
it a
Can
-Tra
ce m
anda
tory
dat
a el
emen
t ?2.
7.3
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
ni derots si taht esimerp hcae ot dengissa reb
mun euqinU
?noi tcnuf ytiliba ec ar t ecarT-na
C eht esu margorp eh t seo
D4. 7. 2
a ce
ntra
l reg
istr
y (C
LIA
).
2.8.
D
oes
the
prog
ram
dat
a el
emen
t:
R
egis
try
Org
aniz
atio
n N
o. &
Sup
plem
enta
l No.
if r
eq'd
. D
atab
ase
of R
ecor
d. Id
entif
ies
the
data
base
age
nt.
? yran oitci
D a taD ec ar
T-naC eht ni ts ix
E1. 8.2 2.
8.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.8.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
? .
mets ys re it 3 a fo t ra p si me tsys ada na
C eniuqE eh
T?noitcn uf ytil ibaecar t ecar
T- naC e ht esu
margorp eht s eoD
4.8.2E
quin
e C
anad
a's
data
base
is a
n ag
ent t
o th
e C
LIA
's
data
base
and
in tu
rn h
as d
atab
ase
agen
ts to
its
own
data
base
.
2.9.
D
oes
the
prog
ram
dat
a el
emen
t:
D
ate
of B
irth
2.9.
1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?A
nim
al A
ge -
ele
men
t num
ber
1 2.
9.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.9.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?
Can-Trace Integration Guidelines April 2006 - 55 -
2.9.
4D
oes
the
prog
ram
use
the
Can
-Tra
ce tr
acea
bilit
y fu
nctio
n?
htriB fo rae
Y :tne
mele atad margorp eht seo
D .0 1. 2 2.
10.1
Exi
st in
the
Can
-Tra
ce D
ata
Dic
tiona
ry ?
2.10
.2Is
it a
Can
-Tra
ce m
anda
tory
dat
a el
emen
t ?2.
10.3
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
2.10
.4D
oes
the
prog
ram
use
the
Can
-Tra
ce tr
acea
bilit
y fu
nctio
n?
maD eht fo
NLE
U & e
maN
:tnemele atad
margorp eht seoD
. 11 .2 2.11
.1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?2.
11.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.11
.3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?2.
11.4
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
trac
eabi
lity
func
tion?
eriS fo
NLE
U & e
maN
:tnemele atad
margorp eht seoD
. 21 .2 2.12
.1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?2.
12.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.12
.3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?2.
12.4
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
trac
eabi
lity
func
tion?
:tnemele atad
margorp eht seoD
. 3 1.2S
et o
f Pre
mis
e ID
's: B
irth,
Res
iden
ce, A
ctiv
ity
? yranoi tciD ata
D e ca rT -n a
C eht n i ts ixE
1. 31. 2 2.13
.2Is
it a
Can
-Tra
ce m
anda
tory
dat
a el
emen
t ?2.
13.3
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
2.13
.4D
oes
the
prog
ram
use
the
Can
-Tra
ce tr
acea
bilit
y fu
nctio
n?
:tnemele atad
margorp eht seoD
.4 1. 2P
edig
ree
Nam
e &
Com
petit
iion
Nam
e if
diffe
rent
2.14
.1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?2.
14.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.14
.3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?2.
14.4
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
trac
eabi
lity
func
tion?
r edn eG
: tnem ele at ad
m argorp eht seoD
.51.2 2.15
.1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?2.
15.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.15
.3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?2.
15.4
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
trac
eabi
lity
func
tion?
re vo c ot s dlei f etarap es 71 - ledoM n oit pi rcse
D lau siV
:tnemele ata d
m ar gorp eht seoD
.61.2co
lour
s &
mar
king
s of
hor
se, d
ate
of ID
& p
erso
n m
akin
g th
e ID
2.16
.1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?2.
16.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
Can-Trace Integration Guidelines April 2006
- 56 -
2.16
.3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?2.
16.4
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
trac
eabi
lity
func
tion?
rebmu
N eciveD ro pihcorci
M :tne
mele atad margorp eht seo
D . 7 1.2 2.
17.1
Exi
st in
the
Can
-Tra
ce D
ata
Dic
tiona
ry ?
2.17
.2Is
it a
Can
-Tra
ce m
anda
tory
dat
a el
emen
t ?2.
17.3
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
2.17
.4D
oes
the
prog
ram
use
the
Can
-Tra
ce tr
acea
bilit
y fu
nctio
n?
stnemel
E ataD yrotsi
H noitacilppA gur
D :tne
mele atad margorp eht seo
D .8 1. 2 2.
18.1
Exi
st in
the
Can
-Tra
ce D
ata
Dic
tiona
ry ?
2.18
.2Is
it a
Can
-Tra
ce m
anda
tory
dat
a el
emen
t ?2.
18.3
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
ekam snoitacilppa gurd niatrec sa ytefas doof ot setale
R?noit cnu f yt ilib aec art ec ar
T -n aC eht esu
ma rgorp eht seoD
4 .8 1. 2th
e an
imal
unf
it fo
r fo
od. -
- fo
r an
y cu
rren
t or
futu
re
regu
late
d re
port
ing
requ
irem
ents
onl
y …
stnemel
E a taD l as op si
D : tne
mele at ad m ar gorp eht s eo
D .9 1. 2 2.
19.1
Exi
st in
the
Can
-Tra
ce D
ata
Dic
tiona
ry ?
2.19
.2Is
it a
Can
-Tra
ce m
anda
tory
dat
a el
emen
t ?2.
19.3
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
gnid ulcni esro h a ro f drocer emit-efil a " gniri te r" ot setale
R?n oit cnu f y tili baecart ecar
T -n aC eh t esu
m ar go rp eht s eoD
4. 91. 2re
port
ing
expo
rt o
f the
ani
mal
, mea
ns o
f dea
th (
slau
ghte
r,
euth
aniz
atio
n, n
atur
al c
ause
s) a
nd m
etho
d of
car
cass
di
spos
al, w
ith r
elat
ed d
ate
info
rmat
ion.
Can-Trace Integration Guidelines April 2006 - 57 -
Can
-Tra
ce In
teg
rati
on
Wo
rkin
g G
rou
p
P
rog
ram
Info
rmat
ion
Co
mp
aris
on
Su
rvey
of
Man
dat
ory
Tra
ceab
ility
Dat
a E
lem
ents
Pro
gra
m N
ame:
Can
adia
n H
erb,
Spi
ce &
Nat
ural
Hea
lth P
rodu
ct C
oalit
ion
Pro
gra
m R
epre
sen
tati
ve:
Con
nie
Keh
ler
Dat
e (d
d-M
on
-yy)
:18
-Oct
-05
Inst
ruct
ion
s: T
he s
urve
y qu
estio
nnai
re c
onsi
sts
of a
des
crip
tion
of th
e pr
ogra
m's
trac
eabi
lity
obje
ctiv
es a
nd tw
o se
ts o
f “y
es /
no”
ques
tions
whi
ch w
ill b
e us
ed to
iden
tify
the
pote
ntia
l gap
s. A
ne
gativ
e re
spon
se w
ill id
entif
y a
gap.
1U
sing
the
mou
se p
oint
er p
ut a
che
ck m
ark
in th
e ap
prop
riate
col
umn
(Y/N
) be
side
eac
h qu
estio
n.2
Que
stio
n S
et 2
req
uire
s th
e pr
ogra
m d
ata
elem
ent n
ames
to b
e en
tere
d in
the
Ter
min
olog
y &
F
unct
ions
Com
men
ts fi
eld.
3W
here
dis
crep
enci
es e
xist
bet
wee
n th
e pr
ogra
m a
nd C
an-T
race
term
inol
ogy
& fu
nctio
ns, p
leas
e pr
ovid
e de
tails
in th
e T
erm
inol
ogy
& F
unct
ion
Com
men
ts fi
eld.
Pro
gra
m T
race
abili
ty O
bje
ctiv
es:
Use
trac
eabi
lity
for
iden
tity
and
cont
amin
ant i
dent
ifica
tion,
ris
k m
anag
emen
t and
lim
it of
liab
ility
Set
1Id
enti
fy t
he
use
of
the
Can
-Tra
ce m
anad
ato
ry d
ata
elem
ents
in t
he
pro
gra
mY
N
Ter
min
olo
gy
& F
un
ctio
ns
Co
mm
ents
1.1.
1
?margorp eht yb deriuq er "rei fit ned I reyu
B " ,3 .o n tnemele atad e ca r
T-naC e ht s I
1.1.
2D
oes
the
prog
ram
use
the
sam
e te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?R
ecei
ver
of th
e go
ods,
not
nec
essa
rily
a tr
ansf
er o
f ow
ners
hip
1.1.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
1.2.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 9
, "Lo
t Num
ber"
req
uire
d by
the
prog
ram
?1.
2.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.2.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
1.3.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 1
0, "
Pro
duct
Des
crip
tion"
req
uire
d by
the
prog
ram
?
& suneg( eman cifitneics sti yb debircsed si tcudorp eh
T? )no itp irc sed ro e
ma n a tad( ygolon im re t e
mas eht esu margorp eht seo
D2.3. 1
spec
ies)
and
com
mon
nam
e, a
s th
ey a
ppea
r on
the
Cer
tific
ate
of A
uthe
ntic
ity/Id
entit
y eht ot deknil eb tsu
m dna tpek eb ot deriuqer si noitamrofnI
?n oitcnuf ytili baecart emas eht esu
marg or p e ht seoD
3.3.1lo
t or
batc
h, b
ut m
ay n
ot a
lway
s be
mar
ked
on th
e co
ntai
ner
or th
e bo
x
Can-Trace Integration Guidelines April 2006
- 58 -
1.4.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 1
1, "
Pro
duct
Iden
tifie
r" r
equi
red
by th
e pr
ogra
m?
a sevres rebmun tol eht level recudorp yra
mirp eht tA
? )n oi tp ir csed ro ema n atad ( yg o lo ni
mret ema s eht es u
m ar g or p e ht seoD
2.4 .1s
the
iden
tifie
r. T
he in
form
atio
n ke
pt w
ith th
is lo
t num
ber
iden
tifie
s th
e pr
oduc
t. E
.g. F
ield
& d
ate
of h
arve
st, s
ampl
e ID
, etc
.1.
4.3
Doe
s th
e pr
ogra
m u
se th
e sa
me
trac
eabi
lity
func
tion?
1.5.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 1
2, "
Qua
ntity
" re
quire
d by
the
prog
ram
?1.
5.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.5.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
1.6.
1
?margorp eht yb deriuqer "reif itn edI tne
mpi hS " , 71 . on tn e
me le at ad ec arT-n a
C e ht sI1.
6.2
esoprup siht rof desu si rebmun tol eh
T?)noi tpi rcsed r o e
man atad( yg ol onim re t e
mas e ht e su m ar go rp e ht s eo
D1.
6.3
Doe
s th
e pr
ogra
m u
se th
e sa
me
trac
eabi
lity
func
tion?
1.7.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 2
0, "
Uni
t of
Mea
sure
" re
quire
d by
the
prog
ram
?1.
7.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.7.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
1.8.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 2
3, "
Ven
dor
/ Sup
plie
r Id
entif
ier"
req
uire
d by
the
prog
ram
? fo refsnart a ylirassecen ton ,sdoog eht fo redne
S?)noi tpir csed ro e
ma n a tad ( y golon imret e
ma s e ht e su margorp eht s eo
D2. 8. 1 1.
8.3
Doe
s th
e pr
ogra
m u
se th
e sa
me
trac
eabi
lity
func
tion?
Set
2Id
enti
fy t
he
use
of
pro
gra
m d
ata
elem
ents
wh
ich
are
no
t m
and
ato
ry in
Can
-Tra
ce
Y
NT
erm
ino
log
y &
Fu
nct
ion
s C
om
men
ts
2.1.
Doe
s th
e pr
ogra
m d
ata
elem
ent:
Vou
cher
Spe
cim
en2.
1.1
Exi
st in
the
Can
-Tra
ce D
ata
Dic
tiona
ry ?
2.1.
2Is
it a
Can
-Tra
ce m
anda
tory
dat
a el
emen
t ?p( tcudorp eht fo noitatneserper lacisyhp lausi
V?)n oit pirc sed ro e
m an ata d( ygol onimre t ecar
T -naC eht esu
margorp eht seoD
3.1.2re
ss o
r ph
oto
of p
lant
)2.
1.4
n oit ac ifitned i t nal p rof desU
?noitcnuf ytilibaecart ecarT-n a
C eht esu margorp eht seo
D
2.2.
Doe
s th
e pr
ogra
m d
ata
elem
ent:
Ret
entio
n S
ampl
e2.
2.1
Exi
st in
the
Can
-Tra
ce D
ata
Dic
tiona
ry ?
2.2.
2Is
it a
Can
-Tra
ce m
anda
tory
dat
a el
emen
t ?pihs ro ,hctab ,tol a fo elp
mas evitatneserper A
?)n oit pirc sed ro em an at a d( ygol oni
mre t ecarT-na
C eht esu margorp eht seo
D3.2. 2
men
t of a
he
rb th
at is
ret
aine
d by
the
supp
lier
whe
n th
e lo
t, ba
tch,
or
ship
men
t is
sold
up
the
supp
ly c
hain
ksir
& noitacifitnedi tnanimatnoc dna tnalp rof des
U?noi tcnuf yt ilibaecar t ec ar
T-naC eh t esu
m ar gorp eht seoD
4. 2.2m
anag
emen
t
Can-Trace Integration Guidelines April 2006 - 59 -
Can
-Tra
ce In
teg
rati
on
Wo
rkin
g G
rou
pn
oitamr
ofnI
marg
orP
Co
mp
aris
on
Su
rvey
of
Man
dat
ory
Tra
ceab
ility
Dat
a E
lem
ents
Pro
gra
m N
ame:
Can
adia
n Li
vest
ock
Iden
tific
atio
n A
genc
yP
rog
ram
Rep
rese
nta
tive
:M
icha
el D
exte
rD
ate
(dd
-Mo
n-y
y):
Nov
embe
r 17
, 200
5
Inst
ruct
ion
s: T
he s
urve
y qu
estio
nnai
re c
onsi
sts
of a
des
crip
tion
of th
e pr
ogra
m's
trac
eabi
lity
obje
ctiv
es a
nd tw
o se
ts o
f “y
es /
no”
ques
tions
whi
ch w
ill b
e us
ed to
iden
tify
the
pote
ntia
l gap
s. A
ne
gativ
e re
spon
se w
ill id
entif
y a
gap.
1U
sing
the
mou
se p
oint
er p
ut a
che
ck m
ark
in th
e ap
prop
riate
col
umn
(Y/N
) be
side
eac
h qu
estio
n.
2Q
uest
ion
Set
2 r
equi
res
the
prog
ram
dat
a el
emen
t nam
es to
be
ente
red
in th
e T
erm
inol
ogy
&
Fun
ctio
ns C
omm
ents
fiel
d.
3W
here
dis
crep
enci
es e
xist
bet
wee
n th
e pr
ogra
m a
nd C
an-T
race
term
inol
ogy
& fu
nctio
ns, p
leas
e pr
ovid
e de
tails
in th
e T
erm
inol
ogy
& F
unct
ion
Com
men
ts fi
eld.
Pro
gra
m T
race
abili
ty O
bje
ctiv
es:
1. T
he o
bjec
tive(
s) o
f the
Cor
pora
tion
are:
(i) T
o pr
ovid
e fo
r th
e de
velo
pmen
t, ad
min
istr
atio
n an
d m
aint
enan
ce o
f a n
atio
nal m
ulti-
spec
ies
data
base
for
lives
tock
iden
tific
atio
n, tr
acea
bilit
y an
d liv
esto
ck p
rem
ises
id
entif
icat
ion
(ii)
To
deve
lop
natio
nal s
tand
ards
and
min
imum
crit
eria
for
mul
ti-sp
ecie
s Id
entif
icat
ion
and
trac
eabi
lity
for
spec
ies
in C
anad
a (ii
i) T
o pr
ovid
e a
plat
form
(fo
rum
) fo
r di
scus
sion
s an
d po
licy
deve
lopm
ent o
n liv
esto
ck
iden
tific
atio
n an
d tr
acea
bilit
y fo
r an
imal
hea
lth e
mer
genc
y m
anag
emen
t and
food
sa
fety
2. T
he c
orpo
ratio
n ha
s be
en fo
rmed
for
the
purp
ose
of p
erfo
rmin
g ag
reed
upo
n se
rvic
es fo
r an
d on
beh
alf o
f the
mem
bers
of t
he C
orpo
ratio
n. W
ithou
t res
tric
ting
the
gene
ralit
y of
the
fore
goin
g on
e of
the
serv
ices
to b
e pr
ovid
ed b
y th
e C
orpo
ratio
n is
the
deve
lopm
ent,
mai
nten
ance
, adm
inis
trat
ion
and
man
agem
ent o
f the
nat
iona
l mul
ti-sp
ecie
s da
taba
se s
yste
m u
sed
by th
e Li
vest
ock
Indu
stry
Mem
bers
for
shar
ed d
ata,
m
eetin
g m
inim
um s
tand
ards
and
crit
eria
, com
mon
to a
ll sp
ecie
s.3.
With
the
exce
ptio
n of
the
natio
nal m
ulti-
spec
ies
data
base
sys
tem
of s
hare
d da
ta,
the
Live
stoc
k In
dust
ry M
embe
rs o
f the
Cor
pora
tion
are
resp
onsi
ble
for
deve
lopi
ng a
nd
Set
1Id
enti
fy t
he
use
of
the
Can
-Tra
ce m
anad
ato
ry d
ata
elem
ents
in t
he
pro
gra
mst
nem
mo
C sn
oit cn
uF
& yg
olo
n imre
TN
Y
a eht gniviecer sesimerp eht - yltceridnI
?ma rgo rp eh t y b de riuq er "re ifit nedI rey u
B" ,3 .o n tneme le a tad e car
T -naC e ht sI
1. 1.1ni
mal
s m
ust b
e id
entif
ied
1.1.
2D
oes
the
prog
ram
use
the
sam
e te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?1.
1.3
Doe
s th
e pr
ogra
m u
se th
e sa
me
trac
eabi
lity
func
tion?
1.2.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 9
, "Lo
t Num
ber"
req
uire
d by
the
prog
ram
?1.
2.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.2.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
Can-Trace Integration Guidelines April 2006
- 60 -
hcae - citamotua eb lli
w siht tub deifitnedi eb lliw seiceps eht
metsys lanoitan eht nI?
mar gorp eht y b de riuq er "noi tpi rc seD tcudo r
P" ,01 .o n tnem ele atad e ca r
T -naC eht s I
1 .3.1sp
ecie
s w
ill h
ave
thei
r ow
n sy
stem
whi
ch w
ill fe
ed in
to th
e na
tiona
l rep
osito
ry.
1.3.
2D
oes
the
prog
ram
use
the
sam
e te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?1.
3.3
Doe
s th
e pr
ogra
m u
se th
e sa
me
trac
eabi
lity
func
tion?
noitacifitnedi )puorg ro( lamina laudividnI
?margorp eht yb d eri uqer "reifi tned I tcudor
P" ,11 .on tneme le a tad e ca r
T -naC e ht s I
1. 4.1DI puorg ro la
minA
?) noitp ircsed r o eman ata d( ygoloni
m ret emas eh t e su
ma rgo rp eh t seoD
2 .4.1 1.4.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
fo rebmun eht spuorg hti
W .detroper si lamina hcae - di laudividni hti
w tluafed yB
?margor p e ht y b de riu qer "y tit nau
Q" , 21 .on tnemele a tad eca r
T -naC eh t s I
1 .5.1an
imal
s in
the
grou
p is
req
uire
d."sla
min a fo rebmu
N"?)noitpircsed r o e
m an atad( y go lonimr et e
mas eht e su ma rgo rp eht seo
D2.5.1
spuor g h tiw deific eps ylno tub ,se
Y?noi tcnuf yt ilibaecart e
m as eh t e su ma rgo rp eh t seo
D3 .5.1
rebmun puorg ro ytitnedi puor
G?
margorp eht yb deriuqe r "reifitnedI tnempih
S" ,71 .on tnemele atad ecar
T-naC eht sI
1.6. 1 1.6.
2D
oes
the
prog
ram
use
the
sam
e te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?1.
6.3
Doe
s th
e pr
ogra
m u
se th
e sa
me
trac
eabi
lity
func
tion?
1.7.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 2
0, "
Uni
t of
Mea
sure
" re
quire
d by
the
prog
ram
?1.
7.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.7.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
1.8.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 2
3, "
Ven
dor
/ Sup
plie
r Id
entif
ier"
req
uire
d by
the
prog
ram
?P
rodu
cer
ID n
umbe
r is
req
uire
d fo
r so
me
spec
ies.
Pre
mis
es ID
is r
equi
red
for
all
mov
emen
t rep
ortin
g an
d th
e pr
emis
es r
epos
itory
incl
udes
con
tact
info
rmat
ion
for
the
prem
ises
; not
nec
essa
rily
the
owne
r of
the
anim
als
1.8.
2D
oes
the
prog
ram
use
the
sam
e te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?1.
8.3
Doe
s th
e pr
ogra
m u
se th
e sa
me
trac
eabi
lity
func
tion?
Set
2Id
enti
fy t
he
use
of
pro
gra
m d
ata
elem
ents
wh
ich
are
no
t m
and
ato
ry in
Can
-Tra
ce
stne
mm
oC s
noit c
nu
F & y
gol
oni
m reT
N
Y
sesimer p kcots evi l a g nirets iger neh
w der iuqer o fni tcatnoc sesimer
P - tcatnoC
:tnemele atad
m arg or p eht seoD
.1 .2 2.1.
1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?2.
1.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.1.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?2.
1.4
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
trac
eabi
lity
func
tion?
rebmun ecnayevno
C :tne
mel e ata d mar gorp eht se o
D . 2.2
reifitnedi elciheV .22
? y ran oit ciD ata
D e ca rT -na
C e ht n i ts ixE
1. 2.2 2.2.
2Is
it a
Can
-Tra
ce m
anda
tory
dat
a el
emen
t ?2.
2.3
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
2.2.
4D
oes
the
prog
ram
use
the
Can
-Tra
ce tr
acea
bilit
y fu
nctio
n?
tnemp ihs fo eta
D :tne
mele atad mar gor p eht seo
D . 3.2
etad pihS .41
? y ran oitc iD ata
D e ca rT -na
C e ht ni tsixE
1.3 .2 2.3.
2Is
it a
Can
-Tra
ce m
anda
tory
dat
a el
emen
t ?2.
3.3
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
2.3.
4D
oes
the
prog
ram
use
the
Can
-Tra
ce tr
acea
bilit
y fu
nctio
n?
tpiecer fo etaD
:tnemele atad
m arg orp eht seoD
.4 .2
Can-Trace Integration Guidelines April 2006 - 61 -
etad tpieceR .31
? yra noit ciD at a
D eca rT-na
C eht ni t sixE
1 .4.2 2.4.
2Is
it a
Can
-Tra
ce m
anda
tory
dat
a el
emen
t ?2.
4.3
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
2.4.
4D
oes
the
prog
ram
use
the
Can
-Tra
ce tr
acea
bilit
y fu
nctio
n?
nigiro tnempihs fo
DI esimer
P :tne
mele atad margorp eh t seo
D .5. 2
reifitnedi noitacol morf pih
S .51? yran oit ci
D ataD eca r
T-naC e ht ni t six
E1 .5.2 2.
5.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.5.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?DI yrtsiger sesi
merP
AILC
? noit cnu f y tilibaecar t e ca rT -na
C eh t e su ma rgo rp eht seo
D4. 5.2
noitanitseD tne
mpihs fo DI esi
merP
:tneme le at ad
ma rgo rp e ht se oD
.6. 2reif itnedi noit aco l ot pih
S .51? yrano it ci
D ataD eca r
T-naC e ht ni t six
E1 .6.2 2.
6.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.6.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?DI yrtsiger sesi
merP
AILC
?noi tcn uf yt ilibaecart e ca rT -na
C eht e su ma rgo rp eht seo
D4.6.2
tpiecer fo etaD
:tneme le at ad
margorp e ht seoD
.4.2
Can-Trace Integration Guidelines April 2006
- 62 -
Can
-Tra
ce In
teg
rati
on
Wo
rkin
g G
rou
p
P
rog
ram
Info
rmat
ion
Co
mp
aris
on
Su
rvey
of
Man
dat
ory
Tra
ceab
ility
Dat
a E
lem
ents
Pro
gra
m N
ame:
Pac
kagi
ng A
ssoc
iatio
n of
Can
ada
HA
CC
P P
roje
ct
Pro
gra
m R
epre
sen
tati
ve:
Rog
er M
iller
Dat
e (d
d-M
on
-yy)
:17
-Nov
-05
Inst
ruct
ion
s: T
he s
urve
y qu
estio
nnai
re c
onsi
sts
of a
des
crip
tion
of th
e pr
ogra
m's
trac
eabi
lity
obje
ctiv
es a
nd tw
o se
ts o
f “y
es /
no”
ques
tions
whi
ch w
ill b
e us
ed to
iden
tify
the
pote
ntia
l gap
s. A
ne
gativ
e re
spon
se w
ill id
entif
y a
gap.
1U
sing
the
mou
se p
oint
er p
ut a
che
ck m
ark
in th
e ap
prop
riate
col
umn
(Y/N
) be
side
eac
h qu
estio
n.
2Q
uest
ion
Set
2 r
equi
res
the
prog
ram
dat
a el
emen
t nam
es to
be
ente
red
in th
e T
erm
inol
ogy
&
Fun
ctio
ns C
omm
ents
fiel
d.
3W
here
dis
crep
enci
es e
xist
bet
wee
n th
e pr
ogra
m a
nd C
an-T
race
term
inol
ogy
& fu
nctio
ns, p
leas
e pr
ovid
e de
tails
in th
e T
erm
inol
ogy
& F
unct
ion
Com
men
ts fi
eld. P
rog
ram
Tra
ceab
ility
Ob
ject
ives
:T
o do
cum
ent t
he r
equi
rem
ents
sho
uld
a pr
oduc
t rec
all b
e ne
eded
. A
dher
ence
to s
tand
ards
and
pro
per
exec
utio
n o f
activ
ities
will
hel
p m
inim
ize
risk
from
pos
sibl
e de
fect
ive
harm
ful p
rodu
cts
that
hav
e en
tere
d th
e sy
stem
. It
will
al
low
trac
ing
and
acco
untin
g fo
r al
l ide
ntifi
ed d
efec
tive
prod
ucts
in a
qui
ck a
nd e
ffici
ent m
anne
r, m
anag
ing
com
mun
icat
ions
in th
e ev
ent o
f a r
ecal
l, an
d as
sist
ing
outs
ide
agen
cies
by
havi
ng a
pre
dete
rmin
ed p
lan
and
info
rmat
ion
gath
erin
g m
echa
nism
s. R
ecal
ls w
ill b
e co
nsis
tent
ly m
anag
ed w
hen
initi
ated
by
the
cust
omer
, su
pplie
r, o
r co
nver
ter.
Set
1Id
enti
fy t
he
use
of
the
Can
-Tra
ce m
anad
ato
ry d
ata
elem
ents
in t
he
pro
gra
mY
N
Ter
min
olo
gy
& F
un
ctio
ns
Co
mm
ents eh t yb dei fit ned i si tne
mp ih s e ht f o r ev ie cer e hT
?margorp eh t yb deriu qer "reifitnedI reyu
B" ,3 .on tnemele atad ecar
T-naC eht sI
1.1.1D
estin
atio
n N
ame
& A
ddre
ss. S
ee 2
.11.
1.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.1.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
etad noitcudorp ro rebmun hctab noitcudorp a eb dluo
C?
ma rgorp eh t yb deri uqer " rebmu
N to L" ,9 .on tnemele at ad ec ar
T-naC eht sI
1 .2 .1co
de1.
2.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.2.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
Can-Trace Integration Guidelines April 2006 - 63 -
"lairetam fo epyt" ro e
man tcudorp cireneg eht ot srefeR
?margorp eht y b deri uqer "n oitp ircse
D tcud orP" ,01 . on tne
mele atad e ca rT-na
C eht sI1. 3.1
whi
ch is
use
d to
des
crib
e th
e m
ater
ial o
n re
ceiv
ing
logs
, e.
g. p
aper
margorp eht ni e
maN laireta
M gnimocnI sa ot derrefe
R? )n oitp ir csed ro e
ma n a tad( ygolon im re t e
ma s eht esu margorp eht seo
D2 .3.1
requ
irem
ents
1.3.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
no desu si hcihw ,noitpi rcsed deliated a tub edoc a to
N?
margorp eht yb deriuqer "re if itne dI tcu do rP" ,11 .on tne
mele atad ecarT-na
C eht sI1.4.1
rece
ivin
g &
shi
ppin
g lo
gs to
indi
cate
spe
cific
iden
tity
crite
ria s
uch
as th
e m
ater
ial,
form
fact
or, w
eigh
t and
di
men
sion
s.
ma rg or p e ht ni em a
N tc udo rP sa ot derrefe
R?)noitpircsed ro e
man atad ( yg olonimr et e
ma s eht e su margorp eht seo
D2.4. 1
requ
irem
ents
1.4.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
1.5.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 1
2, "
Qua
ntity
" re
quire
d by
the
prog
ram
?1.
5.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.5.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
gnidal fo llib tnempihs dnuobtuo ro dnuobnI
?ma rgorp eh t y b d eri uqer "re ifi tned I tn e
mp ihS" ,71 .on tn e
me le a ta d eca rT -n a
C eht sI1.6.1 1.
6.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.6.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
1.7.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 2
0, "
Uni
t of
Mea
sure
" re
quire
d by
the
prog
ram
?1.
7.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.7.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
1.8.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 2
3, "
Ven
dor
/ Sup
plie
r Id
entif
ier"
req
uire
d by
the
prog
ram
?R
efer
red
to a
s th
e S
uppl
ier
Nam
e on
the
Rec
eivi
ng L
og1.
8.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.8.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
Set
2Id
enti
fy t
he
use
of
pro
gra
m d
ata
elem
ents
wh
ich
are
no
t m
and
ato
ry in
Can
-Tra
ce
Y
NT
erm
ino
log
y &
Fu
nct
ion
s C
om
men
ts
s se rddA
& em a
N no ita nit seD
:t nem ele ata d
marg or p e ht seoD
.1.261 reb
mun tnemele - reifit nedI noitacoL o
T pihS
? yranoi tciD ata
D e carT -na
C eh t ni t sixE
1 .1 .2 2.1.
2Is
it a
Can
-Tra
ce m
anda
tory
dat
a el
emen
t ?2.
1.3
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
2.1.
4D
oes
the
prog
ram
use
the
Can
-Tra
ce tr
acea
bilit
y fu
nctio
n?
noitacifitnedI reirraC
:tnemele atad
margorp eh t s eoD
.2 .2 2.2.
1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?V
ehic
le Id
entif
ier
- el
emen
t num
ber
222.
2.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.2.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?
Can-Trace Integration Guidelines April 2006
- 64 -
2.2.
4D
oes
the
prog
ram
use
the
Can
-Tra
ce tr
acea
bilit
y fu
nctio
n?
)N/
Y( noitcepsnI reirraC
:tnemele atad
margorp eht seoD
.3. 2 2.3.
1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?2.
3.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.3.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?stne
mpihs dnuobtuo & dnuobni htob rof tne
mele ytilauQ
?noi tcn uf yti libaecart ecarT-na
C e ht esu margorp eht s eo
D4.3.2
:tnemele atad
margorp eht seoD
. 4.2D
ate
of S
hipm
ent
2.4.
1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?S
hip
Dat
e -
elem
ent n
umbe
r 14
2.4.
2Is
it a
Can
-Tra
ce m
anda
tory
dat
a el
emen
t ?2.
4.3
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
2.4.
4D
oes
the
prog
ram
use
the
Can
-Tra
ce tr
acea
bilit
y fu
nctio
n?
tnempih
S fo emi
T :tne
mele atad mar gorp eht seo
D .5.2 2.
5.1
Exi
st in
the
Can
-Tra
ce D
ata
Dic
tiona
ry ?
2.5.
2Is
it a
Can
-Tra
ce m
anda
tory
dat
a el
emen
t ?2.
5.3
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
2.5.
4D
oes
the
prog
ram
use
the
Can
-Tra
ce tr
acea
bilit
y fu
nctio
n?
noitcA evitcerro
C ro noitaiveD
:tnemele atad
margorp eht seoD
.6.2 2.6.
1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?2.
6.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.6.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
? dnuobn i
& dnuobtuo htob f o n oitidnoc ot detaleR
?noi tcnuf ytilib aec ar t ecarT-na
C eht esu margor p eht seo
D4 .6.2
ship
men
ts
s laitin I s 'r epp ihS
:tn emele atad
margorp eht s eoD
.7.2 2.7.
1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?2.
7.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.7.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?tne
mpihs fo noitidnoc rof elbisnops er ytraP
?noi tcnuf ytiliba ec ar t ecarT-na
C eht esu margorp eht seo
D4 .7.2
erut ar epme
T tcudorP
:tnem el e atad
m argorp eht seoD
.8.2 2.8.
1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?2.
8.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.8.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?stne
mpihs dnuobni rof tnemele ytilau
Q? noi tc nuf yti libaecar t ec ar
T-naC eht esu
m ar gorp e ht seoD
4. 8.2
:tnemele atad
margorp eht seoD
.9.2)
N/Y ( e ga
m aD e gak ca
P? yr anoitci
D a taD ecar
T-naC eht ni tsix
E1 .9.2 2.
9.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.9.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?stn e
mp ih s dn uobni rof tnem ele yti la u
Q?noitcnuf ytilibaecart ecar
T-naC eht esu
margorp eht seoD
4.9.2
Can-Trace Integration Guidelines April 2006 - 65 -
Can
-Tra
ce In
teg
rati
on
Wo
rkin
g G
rou
p
P
rog
ram
Info
rmat
ion
Co
mp
aris
on
Su
rvey
of
Man
dat
ory
Tra
ceab
ility
Dat
a E
lem
ents
Pro
gra
m N
ame:
Can
ada
Org
anic
Initi
ativ
e P
roje
ctP
rog
ram
Rep
rese
nta
tive
:P
addy
Doh
erty
Dat
e (d
d-M
on
-yy)
:25
-Nov
-05
Inst
ruct
ion
s: T
he s
urve
y qu
estio
nnai
re c
onsi
sts
of a
des
crip
tion
of th
e pr
ogra
m's
trac
eabi
lity
obje
ctiv
es a
nd tw
o se
ts o
f “y
es /
no”
ques
tions
whi
ch w
ill b
e us
ed to
iden
tify
the
pote
ntia
l gap
s. A
ne
gativ
e re
spon
se w
ill id
entif
y a
gap.
1U
sing
the
mou
se p
oint
er p
ut a
che
ck m
ark
in th
e ap
prop
riate
col
umn
(Y/N
) be
side
eac
h qu
estio
n.
2Q
uest
ion
Set
2 r
equi
res
the
prog
ram
dat
a el
emen
t nam
es to
be
ente
red
in th
e T
erm
inol
ogy
&
Fun
ctio
ns C
omm
ents
fiel
d.
3W
here
dis
crep
enci
es e
xist
bet
wee
n th
e pr
ogra
m a
nd C
an-T
race
term
inol
ogy
& fu
nctio
ns, p
leas
e pr
ovid
e de
tails
in th
e T
erm
inol
ogy
& F
unct
ion
Com
men
ts fi
eld.
Pro
gra
m T
race
abili
ty O
bje
ctiv
es:
Rec
ords
that
sha
ll m
ake
it po
ssib
le to
trac
e:a.
the
orig
in, n
atur
e an
d qu
antit
ies
of o
rgan
ic p
rodu
cts
that
ha
ve b
een
deliv
ered
to th
e pr
oduc
tion
unit;
b. th
e na
ture
, qua
ntiti
es a
nd c
onsi
gnee
s of
pro
duct
s th
at
have
left
the
prod
uctio
n un
it;c.
any
oth
er in
form
atio
n, s
uch
as th
e or
igin
, nat
ure
and
quan
titie
s of
ingr
edie
nts,
add
itive
s an
d m
anuf
actu
ring
aids
de
liver
ed to
the
unit,
and
the
com
posi
tion
of p
roce
ssed
pr
oduc
ts, f
or th
e pu
rpos
es o
f pro
per
verif
icat
ion
of th
e op
erat
ions
.
Set
1Id
enti
fy t
he
use
of
the
Can
-Tra
ce m
anad
ato
ry d
ata
elem
ents
in t
he
pro
gra
mY
N
Ter
min
olo
gy
& F
un
ctio
ns
Co
mm
ents
?
margo rp eh t yb deriuq er "reifit nedI reyuB" ,3 .on tne
mele atad ecarT-na
C eht sI1.1 .1
el bat pe cc a o sla si em an s' reyu
B?)noitpircs ed ro e
man atad( ygolonimret e
mas eht esu margorp eht seo
D2.1 .1
ses op ru p ti du a r of si n oit ac ifit ned i re yuB
?noitcnu f ytilibaecart emas eht esu
margorp eht seoD
3.1 .1 1.2.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 9
, "Lo
t Num
ber"
req
uire
d by
the
prog
ram
?1.
2.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
noi ta vr eserp ytitn edi r of desU
?noi tcnu f ytilib aecart em as eh t esu
margo rp eh t se oD
3 .2 .1 1.3.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 1
0, "
Pro
duct
Des
crip
tion"
req
uire
d by
the
prog
ram
?1.
3.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
Can-Trace Integration Guidelines April 2006
- 66 -
1.3.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
1.4.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 1
1, "
Pro
duct
Iden
tifie
r" r
equi
red
by th
e pr
ogra
m?
1.4.
2D
oes
the
prog
ram
use
the
sam
e te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?1.
4.3
Doe
s th
e pr
ogra
m u
se th
e sa
me
trac
eabi
lity
func
tion?
1.5.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 1
2, "
Qua
ntity
" re
quire
d by
the
prog
ram
?1.
5.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.5.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
1.6.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 1
7, "
Shi
pmen
t Ide
ntifi
er"
requ
ired
by th
e pr
ogra
m?
1.6.
2D
oes
the
prog
ram
use
the
sam
e te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?1.
6.3
Doe
s th
e pr
ogra
m u
se th
e sa
me
trac
eabi
lity
func
tion?
1.7.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 2
0, "
Uni
t of
Mea
sure
" re
quire
d by
the
prog
ram
?1.
7.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.7.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
1.8.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 2
3, "
Ven
dor
/ Sup
plie
r Id
entif
ier"
req
uire
d by
the
prog
ram
?E
very
ope
rato
r is
pro
vide
d w
ith a
uni
que
code
ass
igne
d by
a
cert
ifica
tion
body
.
? )no itp ir csed ro ema n a tad( ygolo ni
m re t ema s eht es u
marg or p eht seoD
2. 8.1 1.8.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
Set
2Id
enti
fy t
he
use
of
pro
gra
m d
ata
elem
ents
wh
ich
are
no
t m
and
ato
ry in
Can
-Tra
ce
Y
NT
erm
ino
log
y &
Fu
nct
ion
s C
om
men
ts
DI rotubir tsiD ro rer aper
P ,recudorP
:tnemele atad
marg or p e ht seoD
.1 .2 2.1.
1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?2.
1.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.1.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
? .tcudorp eht eldnah ot ytrap elbisnopser tsal eh
T?no it cnu f y tilib aecart ecar
T -naC eh t es u
margo rp eh t seoD
4 .1 .2
ro reraperP ,recudor
P eht rof noitamrofnI tcatno
C :tne
mele atad marg or p e ht seo
D .2 .2
Dis
trib
utor
5 rebmun tne
mel e a tad - noitamrofnI tcat no
C? yra noi tci
D ataD ec ar
T -naC eh t ni ts ix
E1 .2. 2 2.
2.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
?)n oit pircsed ro e
m an ata d( ygolo nimret ecar
T -naC eh t esu
margo rp eh t seoD
3 .2. 2 2.2.
4D
oes
the
prog
ram
use
the
Can
-Tra
ce tr
acea
bilit
y fu
nctio
n?
:tn eme le atad
ma rgorp eht seoD
.3.2 ydo
B noitacif itreC
? yra noi tciD ata
D ec arT -na
C eht ni ts ixE
1.3.2 2.3.
2Is
it a
Can
-Tra
ce m
anda
tory
dat
a el
emen
t ?2.
3.3
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
Can-Trace Integration Guidelines April 2006 - 67 -
eht noisivrepus esohw rednu ydob noitacifitrec fo e
maN
? no itcn uf yti l ib aec ar t ec arT- na
C e ht esu ma rg or p e ht s eo
D4. 3. 2
prod
uct w
as p
rodu
ced
or p
repa
red.
eengisnoC
:tnemele atad
margo rp eht seoD
. 4.2 2.4.
1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?2.
4.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.4.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?2.
4.4
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
trac
eabi
lity
func
tion?
nigirO
:tnemele atad
margo rp eh t se oD
. 5. 2 2.5.
1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?2.
5.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.5.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?2.
5.4
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
trac
eabi
lity
func
tion?
Can-Trace Integration Guidelines April 2006
- 68 -
Can
-Tra
ce In
teg
rati
on
Wo
rkin
g G
rou
p
P
rog
ram
Info
rmat
ion
Co
mp
aris
on
Su
rvey
of
Man
dat
ory
Tra
ceab
ility
Dat
a E
lem
ents
Pro
gra
m N
ame:
Foo
d S
afet
y E
nhan
cem
ent P
rogr
am (
FS
EP
)P
rog
ram
Rep
rese
nta
tive
:M
r. T
om G
raha
m, N
atio
nal H
AC
CP
/FS
EP
Coo
rdin
ator
Dat
e (d
d-M
on
-yy)
:06
-Mar
-21
Inst
ruct
ion
s: T
he s
urve
y qu
estio
nnai
re c
onsi
sts
of a
des
crip
tion
of th
e pr
ogra
m's
trac
eabi
lity
obje
ctiv
es a
nd tw
o se
ts o
f “y
es /
no”
ques
tions
whi
ch w
ill b
e us
ed to
iden
tify
the
pote
ntia
l gap
s. A
ne
gativ
e re
spon
se w
ill id
entif
y a
gap.
1U
sing
the
mou
se p
oint
er p
ut a
che
ck m
ark
in th
e ap
prop
riate
col
umn
(Y/N
) be
side
eac
h qu
estio
n.
2Q
uest
ion
Set
2 r
equi
res
the
prog
ram
dat
a el
emen
t nam
es to
be
ente
red
in th
e T
erm
inol
ogy
&
Fun
ctio
ns C
omm
ents
fiel
d.
3W
here
dis
crep
enci
es e
xist
bet
wee
n th
e pr
ogra
m a
nd C
an-T
race
term
inol
ogy
& fu
nctio
ns, p
leas
e pr
ovid
e de
tails
in th
e T
erm
inol
ogy
& F
unct
ion
Com
men
ts fi
eld.
Pro
gra
m T
race
abili
ty O
bje
ctiv
es:
Tra
ceab
ility
is a
ddre
ssed
in F
SE
P t
hrou
gh th
e pr
ereq
uisi
te p
rogr
am c
ompo
nent
of a
n es
tabl
ishm
ent's
H
AC
CP
sys
tem
. S
peci
fical
ly, t
he R
ecal
l Pro
gram
det
ails
an
est
ablis
hmen
t's r
ecal
l sys
tem
and
pro
duct
cod
e id
entif
icat
ion/
dist
ribut
ion
info
rmat
ion.
The
obj
ectiv
e of
the
reca
ll pr
ogra
m is
to e
nsur
e es
tabl
ishm
ents
hav
e th
e ne
cess
ary
reca
ll te
am s
truc
ture
in p
lace
and
suf
ficie
nt
info
rmat
ion
and
deta
ils s
o th
at it
can
rec
all 1
00%
of t
he
affe
cted
pro
duct
in a
tim
ely
fash
ion
shou
ld th
e ne
ed a
rise.
A
n an
nual
moc
k re
call
is u
tiliz
ed to
ens
ure
thes
e ob
ject
ives
are
met
.
Set
1Id
enti
fy t
he
use
of
the
Can
-Tra
ce m
anad
ato
ry d
ata
elem
ents
in t
he
pro
gra
mY
N
Ter
min
olo
gy
& F
un
ctio
ns
Co
mm
ents
.de riuqer si tsi l rey ub etad-ot-pu nA
?mar gorp e ht yb deriuq er "r eifit nedI re yu
B" ,3 .on tnem ele a tad ec ar
T- naC eht sI
1 .1 .1 1.1.
2D
oes
the
prog
ram
use
the
sam
e te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?1.
1.3
Doe
s th
e pr
ogra
m u
se th
e sa
me
trac
eabi
lity
func
tion?
.deriuqer si dessecorp etad gnidulcni rebmun toL
?mar gorp eht yb deriu qer "reb
muN toL" ,9 .on tne
mele atad e carT- na
C eh t sI1.2.1
emit ro kcap fo etad ,tne
mpiuqe noitcudorp yfi tnedi yaM(
?) noi tpir cse d r o eman a ta d( y golo ni
mret emas eh t esu
marg orp eht seoD
2.2.1pr
oduc
ed)
1.2.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
.tcudorp hcae e bircsed ylluf snalp P
CC
AH eh
T?
margorp eht yb deriuqer "noitpircseD tcudor
P" ,01 .on tnemele atad ecar
T-naC eht sI
1.3.1 edulcni ot noitacifitnedi tcudorp
mret eht sesu P
ES
F?)noitpi rcse d ro e
man at ad( y gol onimret e
mas eht e su marg orp e ht se o
D2 .3 .1
prod
uct d
escr
iptio
n, u
nit o
f mea
sure
, uni
t of t
rade
, pro
duct
id
entif
ier,
wei
ght a
nd p
acka
ging
.
Can-Trace Integration Guidelines April 2006 - 69 -
1.3.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
1.4.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 1
1, "
Pro
duct
Iden
tifie
r" r
equi
red
by th
e pr
ogra
m?
A "
prod
uct c
ode"
iden
tifyi
ng th
e pr
oduc
t is
requ
ired.
1.4.
2D
oes
the
prog
ram
use
the
sam
e te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?1.
4.3
Doe
s th
e pr
ogra
m u
se th
e sa
me
trac
eabi
lity
func
tion?
oitcudorp no derutpac si ytitnauq dna thgiew te
N?
margor p eht yb d eriu qer "ytitn auQ" , 21 . on tne
mele a tad ecarT- na
C eht sI1 .5 .1
n sh
eets
an
d sh
ippi
ng d
ocum
enta
tion
whi
ch is
incl
uded
in th
e de
tails
nee
ded
for
the
reca
ll sy
stem
.1.
5.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
yrotnevni ni ytitnauq eht gnitacidni sdrocer seriuqer P
ES
F?noitc nuf ytilibaecart e
mas eht esu marg orp eht seo
D3.5.1
(incl
udes
off
site
sto
rage
) an
d th
e qu
antit
y di
strib
uted
.
tnoc g ni ppih s dna re ifi tnedi tnemp ih
S?
mar gorp eht yb d eriuqer "reifitnedI tnempih
S" , 71 .on tnem ele atad ec ar
T-naC eht sI
1.6.1ai
ner
seria
l num
ber
are
requ
ired.
1.6.
2D
oes
the
prog
ram
use
the
sam
e te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?1.
6.3
Doe
s th
e pr
ogra
m u
se th
e sa
me
trac
eabi
lity
func
tion?
la ni ot derrefer dna desu si thgiew te
N?
m arg orp eht y b deri uqe r "er usaeM f o tin
U" ,0 2 . on t neme le atad ecar
T-n aC eht s I
1. 7. 1l c
ases
. 1.
7.2
Doe
s th
e pr
ogra
m u
se th
e sa
me
term
inol
ogy
(dat
a na
me
or d
escr
iptio
n)?
1.7.
3D
oes
the
prog
ram
use
the
sam
e tr
acea
bilit
y fu
nctio
n?
1.8.
1Is
the
Can
-Tra
ce d
ata
elem
ent n
o. 2
3, "
Ven
dor
/ Sup
plie
r Id
entif
ier"
req
uire
d by
the
prog
ram
?T
he s
hipp
er m
ay n
ot b
e id
ent if
ied
by a
spe
cific
cod
e bu
t by
nam
e an
d ad
dres
s. A
cod
e is
not
a r
equi
rem
ent.
ot ylevisulcxe desu era srebmun noitartsiger larede
F?)n oitpir csed ro e
m an a tad ( yg olon imr et e
m as eht es u m argo rp eht s eo
D2. 8.1
iden
tify
the
prod
uctio
n es
tabl
ishm
ent i
n do
cum
ents
and
on
each
indi
vidu
al p
rodu
ct.
noitcud orp eht naht r ehto ytr ap a eb yam repp ih s eh
T?noitcnuf ytil iba ecart e
mas eh t esu m argorp eht s eo
D3. 8.1
esta
blis
hmen
t.
Set
2Id
enti
fy t
he
use
of
pro
gra
m d
ata
elem
ents
wh
ich
are
no
t m
and
ato
ry in
Can
-Tra
ce
Y
NT
erm
ino
log
y &
Fu
nct
ion
s C
om
men
ts
rebmun noitartsiger tne
mhsilbatsE
:tnemele atad
m argor p eh t s eoD
.1.2 2.1.
1E
xist
in th
e C
an-T
race
Dat
a D
ictio
nary
?2.
1.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
.noitcudorp fo tna lp eht seifitnedI?)n oit pircs ed ro e
ma n at ad( ygol onimr et e car
T- naC eh t esu
marg orp eht seoD
3.1 .2 fi n oitacol
morf pihs eht dna reilppus / rodnev eht seifitnedI? noi tc nu f ytili baeca rt ecar
T- naC eh t esu
marg orp eht seoD
4 .1 .2th
e pl
ant o
f pro
duct
ion
is o
ne li
nk d
own.
rebmun laires reniatnoc gnippih
S :tne
mele atad m argorp eht s eo
D .2 .2
81 re bmu
N tnemel
E? y ran oitci
D ataD ecar
T-naC eh t ni tsix
E1.2.2 2.
2.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
s eht g niy fitn edi sgnik ram e do c y na o t r efer na
C?)noitpircsed ro e
man at ad( ygol onimret ecar
T-naC eht esu
margorp eh t seoD
3.2.2hi
pmen
t.2.
2.4
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
trac
eabi
lity
func
tion?
Can-Trace Integration Guidelines April 2006
- 70 -
)rebmun enohpelet ,sserdda ,e
man( drocer remotsu
C :tne
mele atad m ar gorp eh t se o
D .3.2
61 & 5 sreb
muN tne
melE
? y ran oitciD a ta
D e carT- na
C eht ni tsixE
1.3 .2 2.3.
2Is
it a
Can
-Tra
ce m
anda
tory
dat
a el
emen
t ?noita
mrofnI tcatnoC dna noitacoL ot pih
S eht seifitnedI? )noi tpir csed ro e
man a tad ( yg olonimr et ec ar
T-n aC e ht es u
mar gor p e ht se oD
3.3. 2 2.3.
4D
oes
the
prog
ram
use
the
Can
-Tra
ce tr
acea
bilit
y fu
nctio
n?
etaD pih
S :tne
mele atad margorp eht seo
D . 4.2
41 rebmu
N tnemel
E? yr anoitci
D ataD eca r
T-n aC e ht ni t six
E1.4.2 2.
4.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.4.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?2.
4.4
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
trac
eabi
lity
func
tion?
etaD tpiece
R :tne
mele atad mar gorp eh t se o
D .5. 2
31 rebmu
N tnemel
E? yranoitci
D ataD eca r
T -naC eht ni tsix
E1. 5.2 2.
5.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.5.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?2.
5.4
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
trac
eabi
lity
func
tion?
nigirO fo yrtnuo
C :tne
mele atad mar gorp eht se o
D . 6.2
6 rebm u
N tn emel
E? yranoit ci
D at aD ec ar
T-naC e ht ni tsix
E1.6. 2 2.
6.2
Is it
a C
an-T
race
man
dato
ry d
ata
elem
ent ?
2.6.
3D
oes
the
prog
ram
use
the
Can
-Tra
ce te
rmin
olog
y (d
ata
nam
e or
des
crip
tion)
?2.
6.4
Doe
s th
e pr
ogra
m u
se th
e C
an-T
race
trac
eabi
lity
func
tion?
ynapmo
C gnippihS
:tnemele atad
mar gorp eh t se oD
.7 .28 reb
muN tne
melE
? yr anoitciD ata
D ecarT-na
C e ht ni t sixE
1. 7.2 2.7.
2Is
it a
Can
-Tra
ce m
anda
tory
dat
a el
emen
t ?rei fit n ed I re divor
P s cit sigoL?) noitpir csed r o e
man a ta d( ygolo nimret ecar
T-naC eht esu
margorp eht s eoD
3. 7.2 2.7.
4D
oes
the
prog
ram
use
the
Can
-Tra
ce tr
acea
bilit
y fu
nctio
n?