Optimizing Data Standards Working Group Meeting Summary 2014-04-18.

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Presentation transcript:

Optimizing Data Standards Working Group Meeting Summary

Meeting Summary – Break out sessions for each working group Traceability and Data Flow ADaM Data Reviewer’s Guide Best Practices (New: Multiple Sub-Projects Identified) – Identified new project to be initiated following this meeting: Study Data Standardization Plan (SDSP) Optimizing Data Standards

Optimizing Data Standards Active Projects Traceability and Data Flow ADaM Data Reviewer’s Guide Best Practices Study Data Standardization Plan

Traceability and Data Flow Leaders: Paul Bukowiec, Sandra Minjoe, Tanja Petrowitsch, Natalie Reynolds This project will discuss and define traceability considerations and best practices for study level dataset and integrated datasets conversion for a variety of different data flow scenarios. ODS Projects

Traceability and Data Flow Meeting Accomplishments: – Developed first draft of Study Level Traceability white paper – Noted specific traceability details to be added to current Basic Linear Data Flow white paper – Determined the need to develop a template for the Legacy Data Conversion Plan (mentioned in the new draft FDA Study Data Technical Conformance Guide) ODS Projects

Traceability and Data Flow Next Steps: – Scoped 4 tasks, assigned leads and members 1.Update Basic Linear Data Flow white paper 2.Finalize Study Level Traceability white paper 3.Develop Integration Level Traceability white paper 4.Develop Legacy Data Conversion Plan Template – Developed draft timelines and meeting plans ODS Projects

Analysis Data Reviewer’s Guide (ADRG) Leaders: Susan Kenny, Gail Stoner Development of an ADRG template and instructions for industry to consider that will enable consistent and usable ADaM documentation in submissions. ODS Projects

Analysis Data Reviewer’s Guide (ADRG) Accomplished at Meeting – Completed final review of Template – Completed final review of Completion Guideline – Presented poster and expect to receive additional comments. Comments due by MARCH 28. – Began review of one ADRG example By April 30: – Complete review and updates to 2 examples – Finalize ALL documents (template, guidelines, samples) – Post all materials to PhUSE Wiki ODS Projects

Best Practices for Standards Implementation (NEW) – Leaders: Mike Molter, Lisa Lyons – Goal of the Project is to develop a set of recommendations for best practices in optimizing the data standards. Short, single topic best practice recommendations available on the Wiki. – Each topic will be ~3-5 months duration for delivery of the recommendation. – Each best practice will have a sub-team (with leadership) under the Best Practices leadership to address each topic. ODS Projects

What: Lab Unit Standardization Leader: Mat Bryant Description: Challenges of defining an industry wide standard unit (e.g. --STRESU). Also to include… LB SDTM domain, tests, Dimension representation of standard units (e.g. mg vs Mg) Need an EU member – Contact Mat Data Optimization: Best Practices

What: EPOCH/VISITNUM Assignments Leader: Natalia Smeljenski Description: Challenges of defining, deriving, and implementing assignment of values of these variables at a subject level Data Optimization: Best Practices

What: Multiple Imputation Data Sets Leader: Robert Woolson Description: Addresses the use of stepwise multiple imputation data sets Note: This topic will be addressed within the CDISC ADaM team. Data Optimization: Best Practices

What: USUBJID Assignment Leaders: Monica Mattson, Mark Sullivan Description: Assignment of values to USUBJID to ensure uniqueness across an application and within study. Data Optimization: Best Practices

Future Best Practices Topics Identified – Programming Documentation – Reference Range Standardization – Unit Standardization Beyond Labs – Trial Design Setup – Treatment Emergent Flags – ARM/ARMCD assignment and standard implementation – Others welcome – Will be a place to identify new topics on Best Practices Wiki Data Optimization: Best Practices

Study Data Standardization Plan (SDSP) – New Project Starting in 2014 – Goal of the Project is to develop a Template to be made available for Industry to Use. – Template Model will follow a similar development as the SDTM and ADaM Reviewer’s Guide – Initial Leads: Jane Lozano, Jim Johnson 16 people (Industry and FDA) have indicated interest to participate. – Teleconference and Initial Meeting will be in April 2014 – Initial Goal is to have a Template Available by PhUSE Meeting (October 2014) ODS Project

Study Data Standardization Plan (SDSP) (Cont’D) – Initial discussion of the SDSP indicates that the template may address: Non-clinical (SEND) data – Will reach out to Non-Clinical team for representation on SDSP team Should consider including endpoints relevant to the data standardization. Template should be organic and grow with the program as new information is developed with the CDP. SDSP may be an Appendix (Attachment) to the Clinical Development Plan ODS Project

Optimizing Data Standards Thank You