Data Dictionaries Guidelines

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      Supporting Publications 2013:EN-409

    TECHNICAL REPORT

    Data dictionaries/guidelines for reporting data on zoonoses, antimicrobial

    resistance and food-borne outbreaks using the EFSA Data models for the

    Data Collection Framework (DCF) in the Reporting Year 2012

    1

     European Food Safety Authority

    2,3 

    European Food Safety Authority (EFSA), Parma, Italy

    SUMMARY 

    These data dictionaries provide guidance for reporting on quantitative, qualitative, and isolate-based quantitativeantimicrobial resistance data in food, animals, and feed, on prevalence data on zoonoses, on Salmonella serovarsand phagetypes, on food-borne outbreak data, on animal population data, on disease status data, text forms, aswell as sample based data in food under the framework of Directive 2003/99/EC. The objective is to explain indetail the individual fields that are included in the European Food Safety Authority Data models to be used forthe transmission of these data through the Data Collection Framework tool using XML/Excel/CSV datatransfers. This manual is specifically aimed to guide the reporting of the information deriving from the year2012.

    © European Food Safety Authority, 2013

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    TABLE OF CONTENTS 

    Summary ................................................................................................................................................. 1 

    Table of contents ..................................................................................................................................... 2 

    Introduction ............................................................................................................................................ 3 

    References ............................................................................................................................................... 4 

    Appendices

    I. Data dictionary/guidelines for reporting isolate-based antimicrobial resistance quantitative data

    using the EFSA Data model for the Data Collection Framework in the Reporting Year 2012

    II. Data dictionary/guidelines for reporting qualitative data on antimicrobial resistance in zoonotic

    and indicator bacteria from food and animals using the EFSA Data model for the DataCollection Framework in the Reporting Year 2012

    III. Data dictionary/guidelines for reporting quantitative antimicrobial resistance data from zoonotic

    and indicator bacteria from animals, food and feed using the EFSA Data model for the Data

    Collection Framework in the Reporting Year 2012

    IV. Data dictionary/guidelines for reporting aggregated prevalence data on zoonoses and food-borne

     pathogens in food, animals and feed using the EFSA Data model for the Data Collection

    Framework in the Reporting Year 2012

    V. Data dictionary/guidelines for reporting aggregated Salmonella serovar and phagetype data usingthe EFSA Data model for the Data Collection Framework in the Reporting Year 2012

    VI. Data dictionary/guidelines for reporting food-borne outbreak data using the EFSA Data model

    for the Data Collection Framework in the Reporting Year 2012 

    VII. Data dictionary/guidelines for reporting aggregated animal population data using the EFSA Data

    model for the Data Collection Framework in the Reporting Year 2012

    VIII. Data dictionary/guidelines for reporting disease status data using the EFSA Data model for the

    Data Collection Framework in the Reporting Year 2012

    IX. Data dictionary/guidelines for reporting text forms using the EFSA Data model for the Data

    Collection Frame ork in the Reporting Year 2012

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    Data dictionary for reporting zoonoses, antimicrobial resistance and

    food-borne outbreak data using the EFSA data model

    INTRODUCTION 

    The Directive 2003/99/EC

    4

      lays down the European Union (EU) system for monitoring andreporting of information on zoonoses, which obligates the EU Member States to collect data on

    zoonoses, zoonotic agents, antimicrobial resistance and food-borne outbreaks. The European Food

    Safety Authority is assigned the tasks of examining the data collected and preparing the European

    Union Summary Reports in collaboration with the European Centre for Disease Prevention and

    Control (ECDC).

    For the reporting of the annual data, EFSA has created a web-based reporting application as well

    as the possibility of submitting data in XML/ Excel/ CSV formats. In particular, for datasubmission through XML/ Excel/ CSV formats, new data models have been created and provided tothe reporting countries before the start of the 2013 reporting period. 

    To support the Member States in data submission, the existing reporting manuals for zoonoses,

    antimicrobial resistance and food-borne outbreak data have been updated to take into account the

    latest recommendations on reporting (EFSA, 2013a and 2013b).

    To further support the reporting countries in data submission using XML/ Excel/ CSV datatransfer, specific guidelines are given in this report, including data dictionaries and the data

    models.

    The data dictionaries cover the reporting of qualitative, quantitative and isolate-based quantitative

    antimicrobial resistance data in food, animals, and feed as well as of prevalence data on zoonoses and

    food-borne contaminants, Salmonella  serovar sand phagetypes, food-borne outbreak data, animal

     population data, disease status data and sample-based food data and text forms. These data dictionaries

    are specifically aimed to guide the reporting of the information deriving from the year 2012 under the

    frame ork of Directi e 2003/99/EC

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    R EFERENCES 

    EFSA (European Food Safety Authority), 2012a Technical specifications for the analysis andreporting of data on antimicrobial resistance (AMR) in the European Union Summary Report. The

    EFSA Journal 10(2) 2587.

    EFSA (European Food Safety Authority), 2012b Technical specifications on the harmonised

    monitoring and reporting of antimicrobial resistance in Salmonella, Campylobacter  and indicator

     Escherichia coli  and  Enterococcus  spp. bacteria transmitted through food. The EFSA Journal

    10(6), 2742.

    EFSA (European Food Safety Authority), 2012c Technical specifications for the harmonisedmonitoring and reporting of antimicrobial resistance in MRSA in food-producing animals and food.

    The EFSA Journal 10 (10), 2897.

    EFSA (European Food Safety Authority), 2013a. Manual for Reporting on Zoonoses, Zoonotic Agents

    and Antimicrobial Resistance in the framework of Directive 2003/99/EC and of some other

     pathogenic microbiological agents for information derived from the year 2012. Supporting

     publication 2013: EN-408. [4 pp.] Available online: www.efsa.europa.eu/publications 

    EFSA (European Food Safety Authority), 2013b. Manual for Reporting on food-borne outbreaks in

    the framework of Directive 2003/99/EC from the year 2012. Supporting publication 2013:EN-410

    [4 pp]. .Available online: www.efsa.europa.eu/publications 

    http://www.efsa.europa.eu/en/publications/supporting.htmhttp://www.efsa.europa.eu/en/publications/supporting.htmhttp://www.efsa.europa.eu/en/publications/supporting.htmhttp://www.efsa.europa.eu/en/publications/supporting.htmhttp://www.efsa.europa.eu/en/publications/supporting.htmhttp://www.efsa.europa.eu/en/publications/supporting.htmhttp://www.efsa.europa.eu/en/publications/supporting.htmhttp://www.efsa.europa.eu/en/publications/supporting.htm

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    APPENDIX I

    Data dictionary/guidelines for reporting quantitative antimicrobial

    resistance isolate-based data using the EFSA Data model for the Data

    Collection Framework in the Reporting Year 2012

    TABLE OF CONTENTS 

    Table of contents ...................................................................................................................................... 5 

    Data dictionary/Guidelines for Reporting ................................................................................................ 7 

    Introduction .............................................................................................................................................. 7 

    1.  General information and identification of the isolate ................................................................. 8 

    1.1.  Result Code (resultCode AMR.01) .......................................................................................... 8 

    1.2. 

    Reporting Year (repYear AMR.02) ......................................................................................... 8 

    1.3. 

    Reporting Country (repCountry AMR.03) .............................................................................. 8 

    1.4. 

    Language (lang AMR.04) ........................................................................................................ 8 

    2.  Information about type and source of samples and isolates ...................................................... 8 

    2.1. 

    Zoonotic agent ( zoonosis AMR.05) ......................................................................................... 8 

    2.2.  Matrix (matrix AMR.06 ) ......................................................................................................... 9 

    3.  Information about the sampling performed .............................................................................. 10 

    3.1. 

    Sampling unit type ( sampUnitType AMR.45) ....................................................................... 10 

    3.2.  Total number of sampling units tested (totSampUnitsTested AMR.44) ................................ 10 

    3.3.  Sampling Stage ( sampStage AMR.08) .................................................................................. 10 

    3.4.  Sample origin ( sampOrig AMR.46 ) ...................................................................................... 11 

    3.5.  Sample Type ( sampType AMR.09) ....................................................................................... 11 

    3 6 T t l b f l t t d (t tU itT t d AMR 07) 11

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    9.  Information about further isolate characterisation .................................................................. 15 

    9.1.  ESBL phenotype (esbl AMR.38) ........................................................................................... 15 

    9.2. 

    AMPC phenotype (ampC AMR.39) ...................................................................................... 15 

    9.3. 

    Carbapenemase phenotype (carbapenem AMR.40) .............................................................. 15 

    9.4.  Ceftazidime synergy test ( synTestCAZ AMR.41) .................................................................. 15 

    9.5.  Cefotaxime synergy test ( synTest  CTX AMR.42) .................................................................. 15 

    9.6.  Cefepime synergy test ( synTest   FEP AMR.43) ..................................................................... 15 

    9.7.  Performed CC MRSA characterisation ( perCC   AMR.47 ) .................................................... 15 

    9.8.  Performed MLST MRSA characterisation ( perMLST   AMR.48) ........................................... 16 

    10. 

    Additional information ........................................................................................................... 16 

    10.1. 

    Comment (comment AMR.37 )............................................................................................... 16 

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    DATA DICTIONARY/GUIDELINES FOR R EPORTING 

    Introduction

    This data dictionary provides guidance for reporting on antimicrobial resistance (AMR) in animals and

    food at isolate level pursuant to Article 9 of Directive 2003/99/EC1. The objective is to explain in

    detail the individual fields/variables that are included in the EFSA Data model to be used for the

    XML/Excel/CSV transmission of isolate-based data on antimicrobial resistance through the EFSA

    Data Collection Framework (DCF) tool. This data dictionary is specifically aimed to guide the

    reporting of the information deriving from the year 2012.

    Compared with the data model used to report isolate-based AMR data from the year 2011, some

    changes have been made to enable the reporting via the DCF tool of -lactam resistant phenotypes in

    Salmonella  and indicator  E. coli, as well as further characterisation data for methicillin-resistant

    S. aureus (MRSA). Isolate-based data to be submitted to the DCF as part of national reports are to be

    used to generate XML/Excel files. More in depth information on the data to be reported can be found

    in the ‘Manual for Reporting on Zoonoses, Zoonotic Agents and Antimicrobial Resistance in the

    framework of Directive 2003/99/EC and of some other pathogenic microbiological agents for

    information derived from the year 2012’  (EFSA, 2013a).  The EFSA data model for isolate basedantimicrobial resistance data is summarised in Table 4 and the business rules are presented in Table 5.

    Isolate-based data and information to be reported is outlined in the following sections for AMR results

    deriving from the use of either dilution or diffusion methods. Member States (MSs) are, however,

    strongly encouraged to report quantitative Minimum Inhibitory Concentration (MIC) data from

    dilution methods.

    S d t t b t d d t b i hil th d t h ld b t d l t

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    1. 

    GENERAL INFORMATION AND IDENTIFICATION OF THE ISOLATE 

    1.1.  Result Code (resul tCode AMR.01 )

    This variable is mandatory. It should be unique for the sender and allows the identification of the

    record. It will be used by EFSA should an update be needed in a future data transmission or additional

    clarifications required.

    1.2.  Reporting Year (repYear AMR.02 )

    This variable is mandatory. It is a numerical field consisting of four digits. It is the reporting year,

    which is the year to which reported data refer.

    1.3.  Reporting Country (repCountry AMR.03 )

    This variable is mandatory. It contains codes linked to a pick list (ZOO_CAT_COUNTRY, domain:

    D_ALL_repCountry). The list includes the 27 European Union (EU) MSs as well as Norway, Iceland

    and Switzerland.

    1.4.  Language (lang AMR.04 )

    This variable is mandatory. It contains codes linked to a pick list (ZOO_CAT_LANG,  domain:D_ALL_lang). It is the EEA language used to fill in the free text fields notably those foreseen under

    variables AMR.14 ‘sampling details’ and AMR.37  ‘comment’. Only ‘en’ for English is accepted.

    2.  INFORMATION ABOUT TYPE AND SOURCE OF SAMPLES AND ISOLATES 

    2.1.  Zoonotic agent (zoonosis AMR.05 )

    This variable is mandatory. It contains codes linked to a pick list (ZOO_CAT_PARAM_ZOO, 

    d i D AMR i ) It bl ti f th b t i l t t t d f ti i bi l

    http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_COUNTRY!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_COUNTRY!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_PARAM_ZOO!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_PARAM_ZOO!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_COUNTRY!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_COUNTRY!A1

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    Table 1: Salmonella serovars of public health importance and relative codes for DCF

    Animal species/food Salmonella  serovar (Level 2 term)  Code for DCF

    All animal species and derived meatS . Typhimurium RF-00002265-MCG

    S . Typhimurium, monophasic RF-00003051-MCG

    Gallus gallus (fowl): Breeders of egg production line, breeders of meat production

    line, laying hens, broilers and broiler meat 

    S . Enteritidis RF-00002135-MCG

    S. Agona  RF-00001667-MCG

    S . Virchow RF-00001152-MCG

    S . Hadar RF-00001843-MCGS. Kentucky  RF-00000640-MCG

    S . Infantis RF-00001894-MCG

    Broilers and broiler meat S . Javaa  RF-00001325-MCG 

    Turkeys and turkey meat

    S . Enteritidis RF-00002135-MCG

    S. Agona  RF-00001667-MCG

    S. Kentucky  RF-00000640-MCG

    S. Newport  RF-00000960-MCG

    S . Saintpaul RF-00001234-MCG

    Pigs: breeding pigs, suckling piglets, weanerto growers, fattening pigs, and swine meat

    S . Derby RF-00001592-MCG

    S. Agona  RF-00001667-MCG

    Cattle: dairy cattle, beef cattle and bovinemeat

    S . Dublin RF-00001517-MCG

    S . Infantis RF-00001894-MCGa 

    Pre io sl kno n as S Parat phi B ar Ja a

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    Table 2: Recommended categories to be used for the reporting of the origin of the isolates

    Bacteria Animal species/Food categories

    Salmonella 

    Laying hens, broilers, fattening turkeys, fattening pigs, calves (under 1

    year)a, young bovines (1-2 years) and adult cattle (>2 years)

    Broiler meat, turkey meat, pig meat and bovine meat

    Campylobacter  

    Broilers, fattening turkeys, fattening pigs, calves (under 1 year) a, young bovines (1-2 years) and adult cattle (>2 years)

    Broiler meat, turkey meat

    Indicator  E. coli 

    Laying hens, broilers, fattening turkeys, fattening pigs, calves (under 1

    year)a, young bovines (1-2 years) and adult cattle (>2 years)

    Broiler meat, turkey meat, pig meat and bovine meat

    Indicator  enterococci

    Laying hens, broilers, fattening pigs, fattening turkeys, calves (under 1year)a, young bovines (1-2 years) and adult cattle (>2 years)

    Broiler meat, turkey meat, pig meat and bovine meat

    (a): Those MSs monitoring AMR in fattening calve populations that are older than 12 months of age, and typically raised for

    the production of rosé veal, may report data under the category ‘veal calves (at or above 1 year)’ [code A0CHK].

    If relevant information is available, AMR data may as well be reported separately for isolates from

     breeding flocks of Gallus gallus for egg production line and for meat production line. AMR data in

    young and adult cattle may also be distinguished between dairy and meat production sectors.

    For the food and animal origins, the pick list categories at level 1 provide for a high-level

    categorisation of animal species/foodstuffs, whereas levels 2, 3 and 4 allow for the reporting of more

    detailed information. It is recommended that relevant animal populations/food categories

    ( di t l l 2 3 d 4 t ) l t d f th il bl i f ti k it

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    3.4. 

    Sample origin (sampOri g AMR.46 )

    This variable is optional but recommended to be reported to EFSA as well. It contains codes linked

    to a pick list (ZOO_CAT_COUNTRY). Sample origin is used to indicate the country of origin for the

    animal, food or feed sampled (ISO 3166-1-alpha-2 country code). If the exact country of origin of the

    sampled item is not known, the following terms may be reported: ‘European Union’ (code EU), ‘Non

    EU’ (code XE), ‘Non EEA’ (code XC) or ‘Unknown’ (code XX). 

    3.5.  Sample Type (sampType AMR.09 )

    This variable is optional but recommended to be reported to EFSA as well. It contains codes linked

    to a pick list (ZOO_CAT_SMPTYP). It describes the biological source of the sample and allows forcharacterisation of the sample category (i.e. animal, food or environmental sample) and the sample

    type (e.g. faeces, caecal content, boot swabs, neck skin): e.g. ‘animal sample –   nasal swab’ (code

    S015A); ‘food sample –  carcass swab’ (code S021A).

    3.6. 

    Total number of samples tested (totUn itTested AMR.07 )

    This variable is optional but recommended to be reported to EFSA as well. Its type is integer and

    the data values are numeric. It is the total number of samples tested for the presence of the bacteria in

    question from a given matrix (i.e. animal population or food category)/sample type, whether positiveor negative, in order to collect the bacterial isolates tested for antimicrobial susceptibility, within a

    specific reporting MS and during the whole 2012 exercise of the AMR monitoring programme. These

    data may be used to assess the prevalence of resistant bacteria.

    3.7.  Sampling Context (sampContext AMR.10 )

    This variable is optional but recommended to be reported to EFSA as well. It contains codes linked

    to a pick list (ZOO_CAT_SRCTYP,  domain: D_ALL_sampContext). It identifies the type of

    i th f k f hi h l d i l t h b ll t d It i ibl t

    http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_COUNTRY!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SMPTYP!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SRCTYP!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SRCTYP!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SMPTYP!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_COUNTRY!A1

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    3.11. 

    Sampling details (sampDetails AMR.14 )

    This variable is optional. This is a free text of maximum 2,000 alphanumerical characters. It can be

    used to give more information on the sampling design, stage or context, when needed.   It should becompleted in English (see element ‘lang AMR.04’).

    3.12.  Area of Sampling (sampArea AMR.15 )

    This variable is optional but recommended to be reported to EFSA as well. It contains codes linked

    to a pick list (ZOO_CAT_NUTS). It indicates the area, or region, or province in the country (in

    accordance to the NUTS standard) in which the animal/food sample has been collected. The reporting

    of the area of sampling is encouraged so that, for example, geographical spreading of some multi-resistant clones may be studied.

    4.  INFORMATION ABOUT THE LABORATORY

    4.1. 

    Laboratory Identification Code (labCode AMR.16 )

    This variable is optional but recommended to be reported at national level. The codes in this field

    identify the laboratory performing AMR testing for the combination ‘isolate/antimicrobial’ in

    question. This code is reported at the isolate level as MSs may have more than one laboratory performing the susceptibility tests. The code is to be unique in a given Member State.

    4.2.  Laboratory Isolate Code (labI solCode AMR.17 )

    This variable is mandatory. The codes in this field are to uniquely identify the isolate for which AMR

    testing was performed.

    4.3. 

    Total number of isolates available in the laboratory (labTotIsol AMR.18)  

    Thi i bl i d t Thi i i l fi ld ( t d 1 if k ) It th t t l

    http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_NUTS!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_NUTS!A1

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    5.3. 

    Susceptibility Test Year/Month/Day (analysisY/analysisM /analysisD AMR.25/AMR.26/

    AMR.27 )

    These variables are optional. These are numerical fields allowing a maximum of four digits for the

    variable year and maximum two digits for the variables month and day. It corresponds to the date

    when the AMR testing was performed.

    6.  INFORMATION ABOUT THE METHOD AND THE ANTIMICROBIAL 

    6.1.  Method (anMethCode AMR.28 )

    This variable is mandatory. It contains codes linked to a pick list (ZOO_CAT_ANLYMD, domain:D_AMR_anMethCode). It indicates the test method used for AMR testing. Different types of diffusion

    or dilution methods are available for reporting, e.g. ‘dilution’ (code F128A), ‘dilution –  micro dilution

    method’ (code F131A).

    6.2.  Antimicrobial substance (substance  AMR.29 )

    This variable is mandatory. It contains codes linked to a pick list (ZOO_CAT_PARAM_SUB). It

    indicates the antimicrobial substance against which the isolates were tested. Antimicrobial substances

    are listed within the pick list according to antimicrobial families. For Salmonella, Campylobacter ,

    indicator E. coli and indicator enterococci, it is recommended that results are reported at least for theset of antimicrobial substances listed in Table 3. It is noteworthy that the lists have been extended to include all substances recommended for susceptibility testing in the ‘Technical specifications on the

    harmonised monitoring and reporting of antimicrobial resistance in Salmonella, Campylobacter and

    indicator  Escherichia coli and  Enterococcus spp. bacteria transmitted through food’ (EFSA, 2012b) 

    and in ‘Technical specifications on the harmonised monitoring and reporting of antimicrobial

    resistance in methicillin-resistant Staphylococcus aureus in food-producing animals and food’ (EFSA,

    2012c).

    http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_ANLYMD!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_PARAM_SUB!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_PARAM_SUB!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_ANLYMD!A1

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    more in detail at the level of the actual substances tested, e.g. sulfamethoxazole (code RF-00000612-VET) ortetracycline (code RF-00000670-VET). If known, it is recommended to report the substance for the sake of consistency.

    6.3. 

    Cut-off value (cutoffValue AMR.30 )

    This variable is mandatory. This field allows for numeric data values with decimal numbers. The

    variable indicates the cut-off value for the dilution or disk diffusion methods that should be used,

    according to the reporting Member States, for defining resistant isolates in the National Report. In any

    case, the EFSA will use harmonised epidemiological cut-off (ECOFF) values for the analysis of the

    data to be included in the EU Summary Report. Nevertheless, MSs might prefer to use an ad hoc cut-

    off value for the interpretation of their national data.

    It should be avoided to report in duplicate AMR data using different ECOFFs for the same isolates(e.g. harmonised ECOFF and ad hoc ECOFF).

    7.  INFORMATION ABOUT DILUTION METHOD 

    7.1.  Lowest (limit) (lowest AM R.31 )

    This variable is mandatory  for dilution method data. However, in the data model, it is marked as

    optional because in case of diffusion data, this field must be left empty. It contains codes linked to a

     pick list (ZOO_CAT_FIXMEAS, domain: D_AMR_NUMBER). It is the lowest concentration of theconcentration range used to test AMR in the laboratory. It is foreseen that the lowest concentration

    should lie between ‘0.002’ and ‘4096’ and  Lowest < Highest . Only numerical values should be used

    (no ‘

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    8.2. 

    Disc diameter (mm) (diskDi am AMR.35 )

    This variable is mandatory for diffusion method data. However, in the data model, it is marked as

    optional because in case of dilution data, this field must be left empty. The variable allows enteringnumeric data values with floating-point decimal numbers. It corresponds to the diameter of the disc

    used in the testing, which is reported by default in millimeter.

    8.3. 

    IZD value (mm) (I ZD AMR.36 )

    This variable is mandatory for diffusion data. However, in the data model, it is marked as optional

     because in case of dilution data, this field must be left empty. It contains codes linked to a pick list

    (ZOO_CAT_FIXMEAS,  domain: D_AMR_IZD). It represents the inhibition zone diameter values

    deriving from the AMR testing of the isolate, which is reported by default in millimeter.

    9.  INFORMATION ABOUT FURTHER ISOLATE CHARACTERISATION 

    9.1.  ESBL phenotype (esbl AMR.38 )

    This variable is optional  and contains codes linked to a pick list (ZOO_CAT_ESBL). It is a new

    feature of the 2012 data collection exercise. It allows MSs to report ESBL phenotypes in isolates of

    Salmonella and  E. coli  through enzyme formulas (e.g. TEM-52, SHV-2, CTX-M-1), when these are

    known.

    9.2.  AMPC phenotype (ampC AMR.39 )

    This variable is optional  and contains codes linked to a pick list (ZOO_CAT_AMPC). It is a new

    feature of the 2012 data collection exercise. It allows MSs to report AmpC phenotypes in isolates of

    Salmonella and E. coli through enzyme formulas (e.g. CMY-2, AAC-1), when these are known.

    9.3.  Carbapenemase phenotype (carbapenem AMR.40 )

    Thi i bl i ti l d t i d li k d t i k li t (ZOO CAT CARBAPENEM) It

    http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_FIXMEAS!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_FIXMEAS!A1

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    9.8. 

    Performed MLST MRSA characterisation (perMLST  AMR.48 )

    This is a new feature of the 2012 data collection exercise: this variable is optional and contains codes

    linked to a pick list (ZOO_CAT_YESNO). It allows MSs to report whether the determination of theMRSA multi-locus sequence type results from an actually performed genetic test (YES) or has been

    inferred from other tests/online databases (NO).

    10. ADDITIONAL INFORMATION 

    10.1.  Comment (comment AMR.37 )

    This free text variable is optional. This is a free text of maximum 2,000 alphanumerical characters.

    This is an additional comment for the row (= a set of information). It should be completed in English(see element ‘lang  AMR.04’ ).

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    Table 4: The EFSA data model for isolate based antimicrobial resistance data reporting

    Element

    CodeElement Name

    Short Element name for

    XML/Excel/CSV transfer

    XML Schema

    TypeMandatory Pick lists Current

    AMR.01 Result Code resultCode xs:String(60) Mandatory

    AMR.02 Reporting Year repYear xs:integer(4) Mandatory

    AMR.03 Reporting Country repCountry xs:string(2) Mandatory ZOO_CAT_COUNTRY

    AMR.04 Language lang xs:string(2) Mandatory ZOO_CAT_LANG

    AMR.05 Zoonotic Agent zoonosis xs:string(15) Mandatory ZOO_CAT_PARAM_ZOO

    AMR.06 Matrix matrix xs:string(4000) Mandatory ZOO_CAT_MATRIX

    AMR.07 Total number of samples tested totUnitTested xs:integer Optional

    AMR.44 Total number of sampling units tested totSampUnitsTested xs:integer Optional

    AMR.45 Sampling unit type sampUnitType xs:string(5) Optional ZOO_CAT_UNIT

    AMR.08 Sampling Stage sampStage xs:string(5) Optional ZOO_CAT_SMPNT

    AMR.46 Sample origin sampOrig xs:string(2) Optional ZOO_CAT_COUNTRY

    AMR.09 Sample Type sampType xs:string(5) Optional ZOO_CAT_SMPTYPAMR.10 Sampling Context sampContext xs:string(5) Optional ZOO_CAT_SRCTYP

    AMR.11 Sampler sampler xs:string(5) Optional ZOO_CAT_SMPLR  

    AMR.12 Program Code progCode xs:string(20) Optional

    AMR.13 Sampling Strategy progSampStrategy xs:string(5) Optional ZOO_CAT_SAMPSTR 

    AMR.14 Sampling Details sampDetails xs:string(2000) Optional

    AMR.15 Area of Sampling sampArea xs:string(5) Optional ZOO_CAT_NUTS

    AMR.16 Laboratory Identification Code labCode xs:string(100) Optional

    AMR.17 Laboratory Isolate Code labIsolCode xs:string(20) Mandatory

    AMR.18 Total number of isolates available in the laboratory labTotIsol xs:integer Mandatory

    AMR.19 Sampling Year sampY xs:integer(4) MandatoryAMR.20 Sampling Month sampM xs:integer(2) Mandatory

    AMR.21 Sampling Day sampD xs:integer(2) Optional

    AMR.22 Isolation Year IsolY xs:integer(4) Optional

    AMR.23 Isolation Month IsolM xs:integer(2) Optional

    http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_COUNTRY!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_COUNTRY!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_PARAM_ZOO!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_MATRIX!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SMPNT!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_COUNTRY!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SMPTYP!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SRCTYP!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SMPLR!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SMPLR!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SAMPSTR!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_NUTS!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_NUTS!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SAMPSTR!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SMPLR!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SRCTYP!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SMPTYP!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_COUNTRY!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SMPNT!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_MATRIX!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_PARAM_ZOO!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_COUNTRY!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_COUNTRY!A1

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    Table 4 (continued):  The EFSA data model for isolate based antimicrobial resistance data reporting

    Element

    CodeElement Name

    Short Element name for

    XML/Excel/CSV transfer

    XML Schema

    TypeMandatory Pick lists Current

    AMR.24 Isolation Day IsolD xs:integer(2) Optional

    AMR.25 Susceptibility Test Year analisysY xs:integer(4) OptionalAMR.26 Susceptibility Test Month analisysM xs:integer(2) Optional

    AMR.27 Susceptibility Test Day analisysD xs:integer(2) Optional

    AMR.28 Method anMethCode xs:string(5) Mandatory ZOO_CAT_ANLYMD

    AMR.29 Antimicrobial Substance substance xs:string(15) Mandatory ZOO_CAT_PARAM_SUB

    AMR.30 Cut-off value cutoffValue xs:double Mandatory

    AMR.31 Lowest (limit) lowest xs:string(5) Optional ZOO_CAT_FIXMEAS

    AMR.32 Highest (limit) highest xs:string(5) Optional ZOO_CAT_FIXMEAS

    AMR.33 MIC values (mg/L) MIC xs:string(5) Optional ZOO_CAT_FIXMEAS

    AMR.34 Disk concentration (microg) diskConc xs:double Optional

    AMR.35 Disk diameter (mm) diskDiam xs:double Optional

    AMR.36 IZD values (mm) IZD xs:string(5) Optional ZOO_CAT_FIXMEAS

    AMR.38 ESBL phenotype esbl xs:string(5) Optional ZOO_CAT_ESBL

    AMR.39 AMPC phenotype ampC xs:string(5) Optional ZOO_CAT_AMPC

    AMR.40 Carbapenemase phenotype carbapenem xs:string(5) Optional ZOO_CAT_CARBAPENEM

    AMR.41 Ceftazidime synergy test synTestCAZ xs:string(3) Optional ZOO_CAT_POSNEG

    AMR.42 Cefotaxime synergy test synTestCTX xs:string(3) Optional ZOO_CAT_POSNEG

    AMR.43 Cefepime synergy test synTestFEP xs:string(3) Optional ZOO_CAT_POSNEG

    AMR.47 Performed CC MRSA characterisation  perCC xs:string(1) Optional ZOO_CAT_YESNO

    AMR.48 Performed MLST MRSA characterisation  perMLST xs:string(1) Optional ZOO_CAT_YESNOAMR.37 Comment resComm xs:string(2000) Optional

    http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_ANLYMD!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_PARAM_SUB!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_FIXMEAS!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_FIXMEAS!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_FIXMEAS!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_FIXMEAS!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_FIXMEAS!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_FIXMEAS!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_FIXMEAS!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_FIXMEAS!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_PARAM_SUB!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_ANLYMD!A1

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    Table 5: EFSA business rules for isolate based antimicrobial resistance data reporting

    Error code Error type Element 

    Rule

    AMR01 E AMR01 Reporting year has to be >=1995 and 0AMR04 E AMR19 Sampling year has to be >=1995 and =1995 and =1995 and =0 and 0

    AMR13E

    AMR34If analytical method in (‘diffusion’,’diffusion - disk ’,’diffusion - Etest’,’diffusion - paper disk ’) then Disk concentration(microg) value must be Not NULL

    AMR14E

    AMR35If analytical method in (‘diffusion’,’diffusion - disk ’,’diffusion - Etest’,’diffusion - paper disk ’) then Disk diameter value must be Not NULL

    AMR15E

    AMR36If analytical method in (‘diffusion’,’diffusion - disk ’,’diffusion - Etest’,’diffusion - paper disk ’) then IZD (mm) value must be Not NULL

    AMR08 E AMR02 Value of language has to be =‘en’ 

    AMR17 E AMR18 Value of total number of isolates in the lab has to be >=-1

    AMR18 E AMR33 If MIC contains ‘‘ then MIC must be = HIGHEST

    AMR20 E AMR33 MIC must not contains ‘>=‘ or ‘LOWEST AND MIC must be =‘,’=‘,’= lowest AND < HIGHEST

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    Error code Error type Element 

    Rule

    AMR25 E AMR36 IZD must be numeric

    AMR28 W AMR08 WARNING. For data interpretation purposes, sample stage ‘sampStage’ must be specified

    AMR29 W AMR10 WARNING. For data interpretation purposes, the sampling context ‘sampContext’ must be specified

    AMR30 W AMR11 WARNING. For data interpretation purposes, the sampler must be specified

    AMR31 W AMR13 WARNING. For data interpretation purposes, the sampling strategy ‘ progSampStrategy’ must be specified

    AMR32W

    AMR06

    WARNING. For data interpretation purposes, its is advised not to use general categories : matrix NOT IN ( 'Gallus gallus 

    (fowl)','Gallus gallus (fowl) - unspecified','Compound feedingstuffs, not specified')

    AMR33 W AMR46 WARNING. For data interpretation purposes, sample origin ‘sampOrig’ must be specified

    AMR34E

    AMR05

    The zoonosis should always be reported at least to the second level of the pickist (using the domain

    D_ZOO_CAT_PARAM_ZOO_AMR)

    AMR35 E AMR47 If MRSA clonal complex is reported then perCC should be filled in to indicate if result was inferred or tested

    AMR36 E AMR48 If MRSA MLST is reported then perCC and perMLST should be filled in to indicate if result was inferred or tested

    AMR37 E AMR30 Reported cut-off for a specific substance and zoonotic agent must be unique

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    APPENDIX II

    Data dictionary/guidelines for reporting qualitative data on antimicrobial

    resistance in zoonotic and indicator bacteria from food and animals using

    the EFSA Data model for the Data Collection Framework in the Reporting

    Year 2012

    TABLE OF CONTENTS 

    Table of contents .................................................................................................................................... 21 

    Data dictionary/Guidelines for Reporting .............................................................................................. 22 

    Introduction ............................................................................................................................................ 22 

    1.  General information and identification of the isolate ............................................................... 22 

    1.1.  Reporting Year (repYear AQL.01) ........................................................................................ 22 

    1.2.  Reporting Country (repCountry AQL.02) ............................................................................. 22 

    1.3. 

    Language (lang AQL.03) ...................................................................................................... 22 

    2. 

    Information about type and source of samples and isolates .................................................... 22 

    2.1.  Zoonotic agent ( zoonosis AQL.04)........................................................................................ 22 

    2.2.  Matrix (matrix AQL.05) ........................................................................................................ 23 

    3.  Information about the sampling performed .............................................................................. 24 

    3.1.  Sampling Stage ( sampStage AQL.06 ) ................................................................................... 24 

    3.2. 

    Sample Type ( sampType AQL.07) ........................................................................................ 24 

    3.3. 

    Sampling Context ( sampContext AQL.08) ............................................................................ 24 

    3.4.  Sampler ( sampler   AQL.09) ................................................................................................... 25 

    3 5 S li ( S S AQL 10) 25

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    DATA DICTIONARY/GUIDELINES FOR R EPORTING 

    Introduction

    This data dictionary provides guidance for reporting on qualitative antimicrobial resistance (AMR)

    data from zoonotic and indicator bacteria in animals, food and feed under the framework of Directive

    2003/99/EC1. The objective is to explain in detail the individual fields that are included in the EFSA

    Data model to be used for the XML transmission of qualitative data on antimicrobial resistance

    through the Data Collection Framework (DCF) tool. This data dictionary is specifically aimed to guide

    the reporting of the information deriving from the year 2012. More in depth information on the data to

     be reported can be found from the ‘Manual for Reporting on Zoonoses, Zoonotic Agents and

    Antimicrobial Resistance in the framework of Directive 2003/99/EC and of some other pathogenicmicrobiological agents for information derived from the year 2012’ (EFSA, 2013a). The EFSA data

    model for qualitative antimicrobial resistance tables is summarised in Table 4 and the complete set of business rules applied for data validation are presented in Table 5.

    1. 

    GENERAL INFORMATION AND IDENTIFICATION OF THE ISOLATE 

    1.1.  Reporting Year (repYear AQL .01 )

    This variable is mandatory. It is a numerical field consisting of four digits. It is the reporting year,

    which is the year to which reported data refer.

    1.2.  Reporting Country (repCountry AQL.02 )

    This variable is mandatory. It contains codes linked to a pick list (ZOO_CAT_COUNTRY, domain:

    D_ALL_repCountry). The list includes the 27 European Union (EU) Member States (MSs) as well as

     Norway, Switzerland and Iceland.

    http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_COUNTRY!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_COUNTRY!A1

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    Table 1: Salmonella serovars of public health importance and relative codes for DCF

    Animal species/food Salmonella  serovar (Level 2 term)  Code for DCF

    All animal species and derived meatS . Typhimurium RF-00002265-MCG

    S . Typhimurium, monophasic RF-00003051-MCG

    Gallus gallus (fowl): Breeders of egg production line, breeders of meat production

    line, laying hens, broilers and broiler meat 

    S . Enteritidis RF-00002135-MCG

    S. Agona  RF-00001667-MCG

    S . Virchow RF-00001152-MCG

    S . Hadar RF-00001843-MCG

    S. Kentucky  RF-00000640-MCG

    S . Infantis RF-00001894-MCG

    Broilers and broiler meat S . Java a  RF-00001325-MCG 

    Turkeys and turkey meat

    S . Enteritidis RF-00002135-MCG

    S. Agona  RF-00001667-MCG

    S. Kentucky  RF-00000640-MCG

    S. Newport  RF-00000960-MCG

    S . Saintpaul RF-00001234-MCG

    Pigs: breeding pigs, suckling piglets, weanerto growers, fattening pigs, and swine meat

    S . Derby RF-00001592-MCG

    S. Agona  RF-00001667-MCG

    Cattle: dairy cattle, beef cattle and bovinemeat

    S . Dublin RF-00001517-MCG

    S . Infantis RF-00001894-MCG

    a Previously known as S . Paratyphi B var. Java

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    Table 2: Recommended food and animal categories for AMR reporting

    Bacteria Animal species/Food categories

    Salmonella 

    Laying hens, broilers, fattening turkeys, fattening pigs, calves

    (under 1 year )a, young bovines (1-2 years) and adult cattle (>2

    years)

    Broiler meat, turkey meat, pig meat and bovine meat

    Campylobacter  

    Broilers, fattening turkeys, fattening pigs, calves (under 1 year )a, 

    young bovines (1-2 years) and adult cattle (>2 years)Broiler meat, turkey meat 

    Indicator  E. coli 

    Laying hens, broilers, fattening turkeys, fattening  pigs, calves

    (under 1 year )a, young bovines (1-2 years) and adult cattle (>2

    years)

    Broiler meat, turkey meat, pig meat and bovine meat 

    Indicator  enterococci

    Laying hens, broilers, fattening pigs, fattening turkeys, calves

    (under 1 year )a

    , young bovines (1-2 years) and adult cattle (>2years)

    Broiler meat, turkey meat, pig meat and bovine meat 

    (a): Those MSs monitoring AMR in fattening calve populations that are older than 12 months of age, and typically raised forthe production of rosé veal, may report data under the category ‘veal calves (at or above 1 year)’ (code A0CHK).

    It is recommended that relevant animal sub-populations (corresponding to the level 2, level 3 and level

    4 terms) are selected, as far as the available information makes it possible and as enabled by the

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    3.4. 

    Sampler (sampler  AQL.09 )

    This variable is optional. It contains codes linked to a pick list (ZOO_CAT_SMPLR). It indicates the

    type of the body who performed the sampling, e.g. ‘Industry sampling’ (code CX01A), ‘Officialsampling’ (code CX02A). 

    3.5. 

    Sampling strategy (progSampStrategy AQL .10 )

    This variable is optional. It contains codes linked to a pick list (ZOO_CAT_SAMPSTR). It is the

    sampling strategy performed in the programme or project, e.g. ‘Objective sampling’ (code ST10A),

    ‘Census’ (code ST50A). Reporting of the sampling strategy is encouraged to enable evaluation of the

    representativeness of the AMR monitoring programmes.

    3.6.  Sampling details (sampDetails AQL .11 )

    This variable is optional. This is a free text of maximum 2,000 alphanumerical characters. It can be

    used to give more information on the sampling design, stage or context, when needed.   It should becompleted in English (see element ‘lang AQ L.03’ ).

    3.7. 

    Monitoring Program (monitProgr AQL.13 )

    This variable is optional. It contains codes linked to a pick list, consisting of terms ‘yes’, ‘no’  and

    ‘unknown’  (ZOO_CAT_YESNO). It indicates whether the tested bacterial isolates originate from amonitoring programme or not.

    3.8.  Tested (tested AQL .15 )

    This variable is mandatory. This is a numerical field (reported as -1  if unknown). The number of

    tested (N) indicates the number of isolates tested for AMR.

    3.9.  Resistant (resistant AQL .16 )

    http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SMPLR!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SAMPSTR!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_YESNO!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_YESNO!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SAMPSTR!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SMPLR!A1

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    Table 3: Recommended antimicrobials for susceptibility testing and relative codes for DCF

    Salmonella C. jejun i /C. coli  

    Indicator E. coli  

    Indicator enterococci

    Ampicillin

    RF-00000688-VET

    Erythromycin

    RF-00000589-VET

    Ampicillin

    RF-00000688-VET

    Ampicillin

    RF-00000688-VET

    CefotaximeRF-00000717-VET

    CiprofloxacinRF-00000695-VET

    CefotaximeRF-00000717-VET 

    ChloramphenicolRF-00000525-VET

    ChloramphenicolRF-00000525-VET 

    Tetracyclinesa ChloramphenicolRF-00000525-VET

    ErythromycinRF-00000589-VET

    Ciprofloxacin

    RF-00000695-VET

    Streptomycin

    RF-0899-001-PPP

    Ciprofloxacin

    RF-00000695-VET Gentamicin

    RF-00000536-VET 

    GentamicinRF-00000536-VET

    GentamicinRF-00000536-VET

    GentamicinRF-00000536-VET

    LinezolidRF-00000758-VET

     Nalidixic acidRF-00000547-VET

    - Nalidixic acidRF-00000547-VET

    Quinopristin/dalfopristinRF-00000777-VET

    Streptomycin

    RF-0899-001-PPP

    -Streptomycin

    RF-0899-001-PPP

    Streptomycin

    RF-0899-001-PPPSulfonamides

    a  - Sulfonamides

    a  Tetracyclines

    Tetracyclinesa  - Tetracyclines

    VancomycinRF-00000569-VET

    TrimethoprimRF-00000562-VET

    -TrimethoprimRF-00000562-VET

    -

    (a): In the case of sulphonamides and tetracyclines, these are classes of substances. Information can be reported at either the

    level of the class of substances, e.g. sulfonamides (code RF-00000690-VET), tetracyclines (code RF-00000672-VET) or

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    Table 4: The EFSA data model for qualitative antimicrobial resistance tables

    Element

    CodeElement Name

    Short Element name for

    XML/Excel transferType Mandatory Pick lists Current

    AQL.01 Reporting Year repYear xs:integer(4) Mandatory

    AQL.02 Reporting Country repCountry xs:string(2) Mandatory ZOO_CAT_COUNTRY

    AQL.03 Language lang xs:string(2) Mandatory ZOO_CAT_LANG

    AQL.04 Zoonotic Agent zoonosis xs:string(15) Mandatory ZOO_CAT_PARAM_ZOO

    AQL.05 Matrix matrix xs:string(4000) Mandatory ZOO_CAT_MATRIX

    AQL.06 Sampling Stage sampStage xs:string(5) Optional ZOO_CAT_SMPNT

    AQL.07 Sample Type sampType xs:string(5) Optional ZOO_CAT_SMPTYP

    AQL.08 Sampling Context sampContext xs:string(5) Optional ZOO_CAT_SRCTYP

    AQL.09 Sampler sampler xs:string(5) Optional ZOO_CAT_SMPLR 

    AQL.10 Sampling Strategy progSampStrategy xs:string(5) Optional ZOO_CAT_SAMPSTR 

    AQL.11 Sampling Details sampDetails xs:string(2000) Optional

    AQL.12 Total Number of isolates in the laboratory labTotIsol xs:integer Mandatory

    AQL.13 Monitoring Program monitProgr xs:string(1) Optional ZOO_CAT_YESNO

    AQL.14 Antimicrobial Substance substance xs:string(15) Mandatory ZOO_CAT_PARAM_SUB

    AQL.15 Tested tested xs:integer Mandatory

    AQL.16 Resistant resistant xs:integer Mandatory

    http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_COUNTRY!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_LANG!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_PARAM_ZOO!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_MATRIX!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SMPNT!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SMPTYP!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SRCTYP!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SMPLR!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SAMPSTR!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_YESNO!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_PARAM_SUB!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_PARAM_SUB!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_YESNO!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SAMPSTR!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SMPLR!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SRCTYP!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SMPTYP!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SMPNT!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_MATRIX!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_PARAM_ZOO!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_LANG!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_COUNTRY!A1

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    Table 5: The EFSA business rules for qualitative antimicrobial resistance

    Error code Error type Element 

    Rule

    AQL01 E AQL01 Reporting year has to be >=1995 and 0

    AQL03 E AQL15 Value of total units tested has to be = to value of resistant

    AQL05 E AQL12 Value of total isolates in the laboratory has to be >= -1

    AQL06 E AQL16 Value of resistant units has to be >= 0

    AQL07 E AQL02 Value of language has to be ="en"

    AQL08 E AQL04The zoonosis should always be reported at least to the second level of the pickist (using the domain

    D_ZOO_CAT_PARAM_ZOO_AMR)

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    APPENDIX III

    Data dictionary/guidelines for reporting quantitative aggregated

    antimicrobial resistance data from zoonotic and indicator bacteria from

    animals, food and feed using the EFSA Data model for the Data Collection

    Framework in the Reporting Year 2012

    TABLE OF CONTENTS 

    Table of contents .................................................................................................................................... 29 

    Data dictionary/Guidelines for Reporting .............................................................................................. 30 

    Introduction ............................................................................................................................................ 30 

    1. 

    General information and identification of the isolate ............................................................... 30 

    1.1. 

    Reporting Year (repYear AQT.01) ........................................................................................ 30 

    1.2. 

    Reporting Country (repCountry AQT.02) ............................................................................. 30 

    1.3. 

    Language (lang AQT.03) ...................................................................................................... 30 

    2.  Information about type and source of samples and isolates .................................................... 30 

    2.1. 

    Zoonotic agent ( zoonosis AQT.04)........................................................................................ 30 

    2.2. 

    Matrix (matrix AQT.05) ........................................................................................................ 32 

    3.  Information about the sampling ................................................................................................. 32 

    3.1. 

    Sampling Stage ( sampStage AQT.06 ) ................................................................................... 32 

    3.2. 

    Sample origin ( sampOrig AQT.22) ....................................................................................... 33 

    3.3. 

    Sample Type ( sampType AQT.07) ........................................................................................ 33 

    3.4. 

    Total number of samples tested (totUnitTested AQT.23) ...................................................... 33 

    3.5. 

    Sampling unit type ( sampUnitType AQT.25) ........................................................................ 33 

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    DATA DICTIONARY/GUIDELINES FOR R EPORTING 

    Introduction

    This data dictionary provides guidance for reporting on quantitative antimicrobial resistance (AMR)

    data from zoonotic and indicator bacteria in animals, food and feed under the framework of Directive

    2003/99/EC1.

    Quantitative AMR data are being defined for the purpose of the reporting exercise as AMR data

    obtained using either diffusion or dilution methods and that are being reported in an aggregated

    manner (conversely to isolate-based AMR data).

    The objective is to explain in detail the individual fields that are included in the EFSA Data model to

     be used for the XML transmission of quantitative data on antimicrobial resistance through the Data

    Collection Framework (DCF) tool. This data dictionary is specifically aimed to guide the reporting of

    the information deriving from the year 2012. More in depth information on the data to be reported can

     be found from the ‘Manual for Reporting on Zoonoses, Zoonotic Agents and Antimicrobial Resistance

    in the framework of Directive 2003/99/EC and of some other pathogenic microbiological agents for

    information derived from the year 2012’  (EFSA, 2013a). The EFSA data model for quantitativeantimicrobial resistance tables is summarised in Table 4 and the complete set of business rules applied

    for data validation are presented in Table 5.

    1.  GENERAL INFORMATION AND IDENTIFICATION OF THE ISOLATE 

    1.1.  Reporting Year (repYear AQT.01 )

    This variable is mandatory. It is a numerical field consisting of four digits. It is the reporting year,

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    It is expected that AMR data are reported for Salmonella,  preferentially at serovar level,  for

    Campylobacter jejuni, Campylobacter coli, indicator Escherichia coli, indicator Enterococcus faecium 

    and indicator Enterococcus faecalis.

    For Salmonella, the reporting of AMR data at the serovar level (level 2 term) is encouraged to be

     performed consistently, as it is scientifically relevant to analyse resistance at this level, in particular

    for the serovars of public health significance and emerging serovars and serovars exhibiting particular

    combinations of resistance. Certain serovars of public health importance are listed in Table 1. If

    desired, susceptibility data can be reported at an even greater level of detail than the recommended

    level 2 term, e.g. 'Salmonella - S . Typhimurium - DT 137’ (code RF-00002322-MCG).

    Table 1: Recommended Salmonella serovars of public health importance and codes for DCF

    Animal species/food Salmonella  serovar (Level 2 term) 

    Code for DCF

    All animal species and derived meatS . Typhimurium RF-00002265-MCG

    S . Typhimurium, monophasic RF-00003051-MCG

    Gallus gallus (fowl): Breeders of egg production line, breeders of meat productionline, laying hens, broilers and broiler meat 

    S . Enteritidis RF-00002135-MCG

    S. Agona  RF-00001667-MCG

    S . Virchow RF-00001152-MCG

    S . Hadar RF-00001843-MCG

    S. Kentucky  RF-00000640-MCG

    S . Infantis RF-00001894-MCG

    Broilers and broiler meat S . Javaa  RF-00001325-MCG 

    S . Enteritidis RF-00002135-MCG

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    2.2. 

    Matrix (matrix AQT.05 )

    This variable is mandatory. It contains codes linked to a pick list (ZOO_CAT_MATRIX). It

    represents the food/feed category or the animal species which the isolate tested for AMR derives from.Also more detailed breakdown information is included at levels 2-4, such as the type of animals (wild,

    farmed, pet), production category (breeding, fattening animals), subcategory of food (minced meat,

    hard cheese), and type of food (frozen, ready-to-eat, etc). For example: ’Gallus  gallus (fowl) / laying

    hens / day-old chicks’ (code A007081A) or ‘meat from bovine animals –  minced meat  –  intended to

     be eaten cooked’ (code A034861A).

    As regards the reporting of food-producing animal species investigated, it is recommended that, where

    appropriate, the AMR data reported are stratified by animal age/production stage and/or production

    type, as levels of resistance may be quite distinct between these groups, reflecting the widely differing

    treatment regimes, management practices and hygienic conditions encountered. It is, therefore,

    recommended that AMR data are reported for the animal species/food categories listed in Table 2.

    Table 2: Recommended food and animal categories for AMR reporting

    Bacteria Animal species/Food categories

    Salmonella 

    Laying hens, broilers, fattening turkeys, fattening pigs, calves (under 1

    year)a, young bovines (1-2 years) and adult cattle (>2 years)

    Broiler meat, turkey meat, pig meat and bovine meat

    Campylobacter  

    Broilers, fattening turkeys, fattening pigs, calves (under 1 year)a, young

     bovines (1-2 years) and adult cattle (>2 years)

    Broiler meat, turkey meat

    Laying hens, broilers, fattening turkeys, fattening pigs, calves (under 1a

    http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_MATRIX!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_MATRIX!A1

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    3.2. 

    Sample origin (sampOri g AQT.22 )

    This variable is optional. It contains codes linked to a pick list (ZOO_CAT_COUNTRY). Sampling

    origin is used to indicate the country of origin for the animal, food or feed sampled (ISO 3166-1-alpha-2 country code). If the exact country of origin of the sampled item is not known, the following

    terms may be reported: ‘European Union’ (code EU), ‘Non EU’ (code XE), ‘Non EEA’ (code XC) or

    ‘Unknown’ (code XX). 

    3.3.  Sample Type (sampType AQT.07)

    This variable is optional. It contains codes linked to a pick list (ZOO_CAT_SMPTYP). It describes

    the biological source of the sample, e.g. ‘animal sample –  nasal swab’ (code S015A); ‘food sample –  carcase swab’ (code S021A). 

    3.4.  Total number of samples tested (totUn itTested AQT.23 )

    This variable is optional. Its type is integer and the data values are numeric. It is the total number of

    samples tested for the presence of the bacteria in question from a given matrix (i.e. animal population

    or food category)/sample type, whether positive or negative, in order to collect the bacterial isolates

    tested for antimicrobial susceptibility, within a specific reporting MS and during the whole 2012

    exercise of the AMR monitoring programme. These data may be used to assess the prevalence ofresistant bacteria.

    3.5.  Sampling unit type (sampUni tType AQT.25 )

    This variable is optional. It contains codes linked to a pick list (ZOO_CAT_UNIT, domain:

    D_AMR_sampUnitType). It defines the type of sampling unit taken in the sampling event: animal,

    flock, herd, batch etc.

    http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SMPTYP!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SMPTYP!A1

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    3.10. 

    Sampling strategy (progSampStrategy AQT.10 )

    This variable is optional. It contains codes linked to a pick list (ZOO_CAT_SAMPSTR). It is the

    sampling strategy performed in the programme or project identified by program code, e.g. ‘Objectivesampling’ (code ST10A), ‘census’ (code ST50A). Reporting of the sampling strateg y is encouraged to

    enable evaluation of the representativeness of the AMR monitoring programmes.

    3.11. 

    Sampling details (sampDetails AQT.11 )

    This variable is optional. This is a free text of maximum 2,000 alphanumerical characters. It can be

    used to give more information on the sampling design, stage or context, when needed.   It should becompleted in English (see element ‘lang AQT.03’).

    3.12.  Monitoring Program (monitProgr AQT.14 )

    This variable is optional. It contains codes linked to a pick list, consisting of terms ‘yes’, ‘no’  and

    ‘unknown’  (ZOO_CAT_YESNO). It indicates whether the tested bacterial isolates originate from a

    monitoring programme or not.

    4. 

    INFORMATION ABOUT THE LABORATORY 

    4.1. 

    Total number of isolates available in the laboratory (labTotIsol AQT.12 )

    This variable is mandatory. Its type is integer and the data values are numeric (reported as -1  if

    unknown). This is the total number of isolates stored per specific bacterial species (serotype/or

    serovar/ spa-type) in the laboratory, for a given reporting year and as far as possible broke down per

    animal population (e.g. laying hen or broilers) / food category

    5.  INFORMATION ABOUT THE METHOD AND THE ANTIMICROBIALS 

    http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SAMPSTR!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_YESNO!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_YESNO!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SAMPSTR!A1

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    Table 3: List or recommended antimicrobials for susceptibility testing and relative codes for

    DCF

    Salmonella C. jejun i /C. coli  

    Indicator E.coli  

    Indicator enterococci

    AmpicillinRF-00000688-VET

    ErythromycinRF-00000589-VET

    AmpicillinRF-00000688-VET

    AmpicillinRF-00000688-VET

    Cefotaxime

    RF-00000717-VET

    Ciprofloxacin

    RF-00000695-VET

    Cefotaxime

    RF-00000717-VET Chloramphenicol

    RF-00000525-VET

    Chloramphenicol

    RF-00000525-VET 

    Tetracyclines

    a

     

    Chloramphenicol

    RF-00000525-VET

    Erythromycin

    RF-00000589-VET

    CiprofloxacinRF-00000695-VET

    StreptomycinRF-0899-001-PPP

    CiprofloxacinRF-00000695-VET 

    GentamicinRF-00000536-VET 

    Gentamicin

    RF-00000536-VET

    Gentamicin

    RF-00000536-VET

    Gentamicin

    RF-00000536-VET

    Linezolid

    RF-00000758-VET

     Nalidixic acidRF-00000547-VET

    - Nalidixic acidRF-00000547-VET

    Quinopristin/dalfopristinRF-00000777-VET

    StreptomycinRF-0899-001-PPP - StreptomycinRF-0899-001-PPP StreptomycinRF-0899-001-PPP

    Sulfonamidesa  - Sulfonamides

    a  Tetracyclines

    Tetracyclinesa  - Tetracyclines

    VancomycinRF-00000569-VET

    TrimethoprimRF-00000562-VET

    -TrimethoprimRF-00000562-VET

    -

    (a): In the case of sulphonamides and tetracyclines, these are classes of substances. Information can be reported at either the

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    6.2. 

    Highest (limit) (highest AQT.18 )

    This variable is mandatory  for dilution method data. However, in the data model, it is marked as

    optional because in case of diffusion data, this field must be left empty. It contains codes linked to a pick list (ZOO_CAT_FIXMEAS,  domain: D_AMR_MIC). It is the highest concentration of the

    concentration range used to test AMR in the laboratory. In any case, the highest concentration should

     be between ‘0.002’ and ‘4096’ and Highest > Lowest . Only numerical values should be used (no ‘

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    Supporting publications 2013:EN-409 37

    Table 4: The EFSA data model for quantitative antimicrobial resistance tables

    Element

    CodeElement Name

    Short Element name for

    XML/Excel transferXML Schema Type Mandatory Pick lists Current

    AQT.01 Reporting Year repYear xs:integer(4) Mandatory

    AQT.02 Reporting Country repCountry xs:string(2) Mandatory ZOO_CAT_COUNTRYAQT.03 Language lang xs:string(2) Mandatory ZOO_CAT_LANG

    AQT.04 Zoonotic Agent zoonosis xs:string(15) Mandatory ZOO_CAT_PARAM_ZOO

    AQT.05 Matrix matrix xs:string(4000) Mandatory ZOO_CAT_MATRIX

    AQT.06 Sampling Stage sampStage xs:string(5) Optional ZOO_CAT_SMPNT

    AQT.22 Sample Origin sampOrigin xs:string(2) Optional ZOO_CAT_COUNTRY

    AQT.07 Sample Type sampType xs:string(5) Optional ZOO_CAT_SMPTYP

    AQT.23 Total number of samples tested totUnitsTested xs:integer Optional

    AQT.24Total number of sampling unitstested

    totSampUnitsTested xs:integerOptional

    AQT.25 Sampling unit type sampUnitType xs:string(5) Optional ZOO_CAT_UNIT

    AQT.08 Sampling Context sampContext xs:string(5) Optional ZOO_CAT_SRCTYP

    AQT.09 Sampler sampler xs:string(5) Optional ZOO_CAT_SMPLR  

    AQT.26 Program Code progCode xs:string(20) Optional

    AQT.10 Sampling Strategy progSampStrategy xs:string(5) Optional ZOO_CAT_SAMPSTR 

    AQT.11 Sampling Details sampDetails xs:string(2000) Optional

    AQT.12 Total Number of isolates in the lab labTotIsol xs:integer Mandatory

    AQT.13 Method anMethCode xs:string(5) Mandatory ZOO_CAT_ANLYMD

    AQT.14 Monitoring Program monitProgr xs:string(1) Optional ZOO_CAT_YESNO

    AQT.15 Antimicrobial Substance substance xs:string(15) Mandatory ZOO_CAT_PARAM_SUB

    AQT.16 Cut-off value cutoffValue xs:double MandatoryAQT.17 Lowest limit lowest xs:string(5) Optional ZOO_CAT_FIXMEAS

    AQT.18 Highest limit highest xs:string(5) Optional ZOO_CAT_FIXMEAS

    AQT.19 Range range xs:string(5) Mandatory ZOO_CAT_FIXMEAS

    AQT.20 Number of inhibited inhibited xs:integer Mandatory

    http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_COUNTRY!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_LANG!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_PARAM_ZOO!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_MATRIX!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SMPNT!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SMPTYP!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SRCTYP!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SMPLR!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SMPLR!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SAMPSTR!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_ANLYMD!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_YESNO!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_PARAM_SUB!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_FIXMEAS!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_FIXMEAS!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_FIXMEAS!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_FIXMEAS!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_FIXMEAS!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_FIXMEAS!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_PARAM_SUB!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_YESNO!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_ANLYMD!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SAMPSTR!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SMPLR!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SRCTYP!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SMPTYP!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_SMPNT!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_MATRIX!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_PARAM_ZOO!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_LANG!A1http://d/DATA/IE/Temporary%20Internet%20Files/Content.Outlook/S6RSI9N8/Zoonoses%20Data%20Models%20and%20Picklists%20(2).xls%23ZOO_CAT_COUNTRY!A1

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    Table 5: The EFSA business rules for quantitative antimicrobial resistance

    Error code Error type Element 

    Rule

    AQT01 E AQT01 Reporting year has to be >=1995 and =0 and =-1

    AQT08 E AQT20 Value of inhibited units in the lab has to be >=0

    AQT09 E AQT17 LOWEST must be numeric (no ‘‘,’>=‘,’=‘,’ 0

    AQT19 E AQT16 CUTOFF must be >= lowest AND < HIGHEST

    AQT20 W AQT05WARNING. For data interpretation purposes, it is advised not to use general categories : matrix NOT IN ('Gallus gallus (fowl)',

    'Gallus gallus (fowl) - unspecified', 'Compound feedingstuffs, not specified')

    AQT23 E AQT19If analytical method in (‘diffusion’,’diffusion - disk ’,’diffusion - Etest’,’diffusion - paper disk ’) then range (IZD) must be

    numeric

    AQT24 E AQT19 If analytical method in (‘dilution’,’dilution - agar ’,’dilution - broth’,’dilution - micro-dilution method’,’dilution - sensititre’)and

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    Error code Er