Ten simple rules for maximizing the recommendations of the NIH data management and sharing plan

Sara Gonzales*, Matthew B. Carson, Kristi Holmes

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

AU The:National Pleaseconfirmthatallheadinglevelsarerepresentedcorrectly Institutes of Health (NIH) Policy for Data Management : and Sharing (DMS Policy) recognizes the NIH’s role as a key steward of United States biomedical research and information and seeks to enhance that stewardship through systematic recommendations for the preservation and sharing of research data generated by funded projects. The policy is effective as of January 2023. The recommendations include a requirement for the submission of a Data Management and Sharing Plan (DMSP) with funding applications, and while no strict template was provided, the NIH has released supplemental draft guidance on elements to consider when developing a plan. This article provides 10 key recommendations for creating a DMSP that is both maximally compliant and effective.

Original languageEnglish (US)
Article numbere1010397
JournalPLoS computational biology
Volume18
Issue number8
DOIs
StatePublished - Aug 2022

ASJC Scopus subject areas

  • Genetics
  • Ecology, Evolution, Behavior and Systematics
  • Cellular and Molecular Neuroscience
  • Molecular Biology
  • Ecology
  • Computational Theory and Mathematics
  • Modeling and Simulation

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