Data Provenance –Use Case (Discovery) Ahsin Azim Nisha Maharaja Presha Patel 1.

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Data Provenance –Use Case (Discovery)Ahsin Azim

Nisha Maharaja

Presha Patel

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Week Target Date (2014) All Hands WG Meeting Tasks

Review & Comments from Community via Wiki page

due following Tuesday by 8 P.M. Eastern

10 8/21Review: Scenario #1 and #2 Functional Requirements and Sequence DiagramsIntroduce: Scenario #3 Functional Requirements and Sequence Diagrams

Review Scenario #3 Functional Requirements and Sequence Diagrams

11 8/28Review :Scenario #3 Functional Requirements and Sequence DiagramsIntroduce: Dataset Requirements

Review Dataset Requirements

12 9/4 Review Dataset Requirements and Risks/Issues Review Data Set Requirements and Risks And Issues

13 9/11 Finalize Data Set Requirements and Risks/IssuesBegin End to End Review Review Risks/Issues

14 9/25 End-to-End Comments Review & disposition End-to-End Review ends

15 10/2 Finalize End-to-End Review Comments & Begin Consensus Begin casting consensus vote

Proposed Use Case & Functional Requirements Development Timeline

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Agenda

Topic Time Allotted

General Announcements 2 minutes

Use Case Discussion

Discuss Timeline/Progress to Date 2 minutes

Comments and Dispositions 15 minutes

Review Dataset Requirements 30 minutes

Introduce Risks and Issues 10 minutes

Next Steps 1 minutes

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Progress to Date

Use Case Sections Status

In Scope

Out of Scope

Assumptions

Context Diagram

User Stories

Pre Conditions

Post Conditions

Actors & Roles

Activity Diagrams

Base Flows

Functional Requirements

Sequence Diagrams

Dataset Requirements

= section developed

= section under development(% completed)

= indicatesthere are 3 sections for development (1 for each of the scenarios identified)

Sections for Review

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Today we will be reviewing: 1. Review Functional

Requirements and Sequence Diagram(s) for Scenarios 1, 2, and 3

2. Introduce Dataset Requirements

Double click the icon to open up the Word Document with the sections for review

Sections For Review

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Discussion Points/Comments

• Attest: In or Out of Scope?• Note: Attest is an important aspect, but not in scope

for this phase. Attestation is some something that could consider in next phase.

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Modifications to Data Source

• Modification of Data Source -> Start Point• Start Point (Data Source) - A role played by a system

that creates data (acting as the true source)• End Point - A role played by a system that creates data

(acting as the true source)

• Start point may not be the original source – Start point and end point maybe be points on

workflow that can be carried out by a variety of actors carrying out a variety of roles

Dataset Requirements Discussion

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• For the purposes of this Use Case, the Dataset Requirements will focus on the data elements pertaining to provenance for the clinical data, including the handling of that data, recognizing that it may contain data from multiple sources– Who, When, Where, Type, Routing Information, Integrity/Authenticity, Sources

• In order to capture the provenance data elements, we propose that we discuss the data elements within these categories: Data Source, Transmitter, Assembler, and Composer. We recognize there may be overlap across these categories.

• As a reminder: – The Dataset Requirements define data from a functional standpoint, not from a

technical perspective– We will use this section to figure out to what extent the standards can adhere to the

requirements (not specifications) – The Dataset Requirements for the Use Case are standards agnostic

• The following slides serve as a starter set to begin the discussion and brainstorming of Dataset Requirements; this will eventually be put into a structured format in the Use Case document

Dataset Requirements - Source

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• Who– Sending System; Sending System Organization; Author; Custodian; Role; etc.

• When– Create Date; Create Time; etc.

• Where– Address; State; Zip; etc.

• Type– Software; Device; etc.

Question for Community: What are the important attributes of

provenance that the dataset must contain?

Dataset Requirements - Transmitter

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• Who– Transmitter; Transmitter Organization; etc.

• When– Transmittal Date; Transmittal Time; etc.



• Routing Information– Information sent to/from

• Integrity/Authenticity– In order to trust the data, do you need to know about how it was handled/who handled it/has

it been altered since it was created????

Dataset Requirements - Assembler

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• Who– Assembler System; Assembler Organization; etc.

• When– Assembly Date, Assembly Time, etc.





• Sources– What is the provenance of the information that was assembled????

Dataset Requirements - Composer

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• Who– Composer; Composer Organization; etc.

• When– Composition Date; Composition Time; etc.





• Sources– What is the provenance of the information that was assembled????

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A look ahead: Data Provenance Next Week

• September 11th, 2014 – All Hands Community Meeting (2:30-3:30)– Review Risks and Issues

Provide your comments on the bottom of this page http://wiki.siframework.org/Data+Provenance+Use+Cases

http://wiki.siframework.org/Data+Provenance+Use+Cases



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Support Team and QuestionsPlease feel free to reach out to any member of the Data Provenance

Support Team:• Initiative Coordinator: Johnathan Coleman: [email protected] • OCPO Sponsor: Julie Chua: [email protected] • OST Sponsor: Mera Choi: [email protected]• Subject Matter Experts: Kathleen Conner: [email protected] and Bob Yencha:

[email protected] • Support Team:

– Project Management: Jamie Parker: [email protected] – Use Case Development: Presha Patel: [email protected], Ahsin

Azim: [email protected] and Nisha Maharaja: [email protected]

– Harmonization: Rita Torkzadeh: [email protected] – Standards Development Support: Amanda Nash:

[email protected] – Support: Lynette Elliott: [email protected] and Apurva Dharia:

[email protected]

mailto:[email protected]













Data Provenance –Use Case (Discovery) Ahsin Azim Nisha Maharaja Presha Patel 1.

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