Do you have thoughts on how common data elements (CDEs) may be used in NIH-supported clinical research? If so, please share them in response to a recently released Request for Information.
Since March, we have engaged with the Federal Demonstration Partnership to pilot test two DMS plan templates. These templates were developed in close collaboration with staff and leadership from offices across NIH, and we seek your input on them.
The Data Management and Sharing (DMS) Plan and Resource Sharing Plan are separate attachments that may be required for your application. One does not necessarily replace the other. Read on to learn more.
I should note that when we started to receive comments on what was to become the NIH DMS Policy, one thing in particular stood out to us. Many commentors told us it would be helpful to have clear information on how to protect the privacy and respect the autonomy of participants when sharing data. Now, we all know that cliffhangers build anticipation, so without further delay, I want to share with you some of the tools NIH has been working on to answer that call.
Common Data Elements foster rigor, facilitate data sharing, and allow multiple datasets to be integrated. They also help make data more FAIR (Findable, Accessible, Interoperable, and Reusable). Many different CDEs are currently in use and can vary across research disciplines, so we would encourage researchers check out databases like the NIH CDE Repository for examples, tools, and other related resources. Through a recently released Request for Information (NOT-LM-21-005), we seek your thoughts on how you use CDEs, potential challenges to their adoption, and how NIH might facilitate and incentivize their use to help us plan future CDE-related efforts.
Today, nearly twenty years after the publication of the Final NIH Statement on Sharing Research Data in 2003, we have released a Final NIH Policy for Data Management and Sharing. This represents the agency’s continued commitment to share and make broadly available the results of publicly funded biomedical research. We hope it will be a critical step in moving towards a culture change, in which data management and sharing is seen as integral to the conduct of research. Responsible data management and sharing is good for science; it maximizes availability of data to the best and brightest minds, underlies reproducibility, honors the participation of human participants by ensuring their data is both protected and fully utilized, and provides an element of transparency to ensure public trust and accountability.
NIH has released for public comment a Draft NIH Policy for Data Management and Sharing along with supplemental draft guidance. Let the NIH know what you think works and what doesn’t in the proposed policy by submitting your comments through the web-portal no later than January 10, 2020.