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Ten simple rules for maximizing the recommendations of the NIH data management and sharing plan
Sara Gonzales1, Matthew B Carson1, Kristi Holmes1,2
1Galter Health Sciences Library & Learning Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America.
Plos Computational Biology
|August 3, 2022
Summary
The National Institutes of Health (NIH) Data Management and Sharing (DMS) Policy requires a Data Management and Sharing Plan (DMSP) for funded research. This article offers 10 recommendations for creating an effective and compliant DMSP.
Area of Science:
- Biomedical Research
- Data Science
- Research Policy
Background:
- The National Institutes of Health (NIH) is a key steward of U.S. biomedical research data.
- Effective January 2023, the NIH implemented a new Data Management and Sharing (DMS) Policy.
- This policy mandates the submission of a Data Management and Sharing Plan (DMSP) for NIH-funded projects.
Purpose of the Study:
- To provide guidance on developing a compliant and effective Data Management and Sharing Plan (DMSP).
- To address the NIH's recommendations for preserving and sharing research data.
Main Methods:
- Review of the NIH Data Management and Sharing (DMS) Policy requirements.
- Analysis of supplemental draft guidance from the NIH on DMSP elements.
- Development of 10 key recommendations for DMSP creation.
Main Results:
- The NIH DMS Policy requires a DMSP for all funded research projects.
- While no strict template exists, NIH has provided draft guidance.
- Ten actionable recommendations are presented for DMSP development.
Conclusions:
- Adherence to the NIH DMS Policy is crucial for funded researchers.
- A well-structured DMSP ensures compliance and facilitates data sharing.
- These recommendations aim to optimize the creation of effective DMSPs.

