Implementation of RDA outputs into CEDAR for enhancing reproducibility, transparency, and discoverability of health data brokerage processes

Date: January 12, 2018

Speaker: Anthony Juehne

Abstract

will outline the methods implemented to produce the current elements within the Health Data Service Center Workflow produced by the Research Data Alliance (RDA), as well as a brief background of other reproducibility projects underway within the RDA Health Data Working Group. I will discuss at a more granular level the elements within the framework, their importance to research reproducibility and transparency, and demonstrate the current metadata templates within CEDAR for collecting and sharing these elements. Finally, I will outline the ongoing and future use cases and the potential benefits such metadata documentation can offer to a health data brokerage team and other teams involved involved in the use of the electronic medical records or similar health data sets within their work. I and the teams involved would certainly appreciate any critiques, thoughts, questions, or concerns, so I will aim to have a section of time devoted to interactive discussion.

References

• Paper: Leslie D. McIntosh, Anthony JuehneEmail author, Cynthia R. H. Vitale, Xiaoyan Liu, Rosalia Alcoser, J. Christian Lukas and Bradley Evanoff. Repeat: a framework to assess empirical reproducibility in biomedical research. Available at: https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-017-0377-6
• The mission and vision of the RDA: https://www.rd-alliance.org/about-rda/who-rda.html
• This could also be relevant, as the majority of the Anthony's work while at Stanford is through the Health Data IG/WG: https://www.rd-alliance.org/groups/health-data.html