Journal:Ten simple rules for maximizing the recommendations of the NIH data management and sharing plan
Full article title | Ten simple rules for maximizing the recommendations of the NIH data management and sharing plan |
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Journal | PLOS Computational Biology |
Author(s) | Gonzales, Sara; Carson, Matthew B.; Holmes, Kristi |
Author affiliation(s) | Northwestern University |
Primary contact | Email: sara dot gonzales2 at northwestern dot edu |
Year published | 2022 |
Volume and issue | 18(8) |
Article # | e1010397 |
DOI | 10.1371/journal.pcbi.1010397 |
ISSN | 1553-7358 |
Distribution license | Creative Commons Attribution 4.0 International |
Website | https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1010397 |
Download | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1010397&type=printable (PDF) |
This article should be considered a work in progress and incomplete. Consider this article incomplete until this notice is removed. |
Abstract
The National Institutes of Health (NIH) Policy for Data Management and Sharing (DMS Policy) recognizes the NIH’s role as a key steward of the 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plan (DMSP) with funding applications, and while no strict template was provided, the NIH has released supplemental draft guidance on elements to consider when developing such a plan. This article provides 10 key recommendations for creating a DMSP that is both maximally compliant and effective.
Keywords: data management, data sharing,
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This presentation is faithful to the original, with only a few minor changes to presentation, grammar, and punctuation. In some cases important information was missing from the references, and that information was added.