On January 25, 2023, the National Institutes of Health (NIH) will update its Data Management and Sharing Policy to further accelerate biomedical research discovery through scientific data sharing.
The policy includes two main requirements:
- submission of a data management and sharing plan
- agreement to comply with that plan, including sharing and preserving data for the long-term
Though the policy builds on the NIH’s initial 2003 policy, one significant change is that the new policy will apply to all funded research, not just projects with large awards.
The Cushing/Whitney Medical Library welcomes this new policy and supports its emphasis on translating research results into accessible knowledge on human health. To receive assistance with research data management, specifically help in writing a data management plan, please contact Kaitlin Throgmorton, data librarian for the health sciences, at kaitlin.throgmorton@yale.edu
QUICK FACTS:
- The policy goes into effect for applications received on or after January 25, 2023.
- Complying with the policy is required for all NIH-funded research, including awards under $500,000.
- Data management plans must be submitted with NIH applications. There are also additional components to be included.
- Researchers are expected to share their data when appropriate.
- The NIH has launched a new website to support the policy.
ADDITIONAL RESOURCES:
- Manage Data from the Cushing/Whitney Medical Library
- Scientific Data Sharing from the NIH
- Research Data Management from Yale Library
- DMPTool – a free tool for generating data management plans based on funder templates, including the new NIH policy (for writing DMS plans)
- re3data – a free tool for looking up research data repositories (for sharing data)
- FAIRsharing – a free tool for looking up data standards, databases, and policies (for writing DMS plans)
- Gonzales S, Carson MB, Holmes K (2022) Ten simple rules for maximizing the recommendations of the NIH data management and sharing plan. PLOS Computational Biology 18(8): e1010397.
- Michener WK. (2015). Ten simple rules for creating a good data management plan. PLOS Computational Biology, 11(10): e1004525.