@article{gonzales_ten_2022,
	title = {Ten simple rules for maximizing the recommendations of the {NIH} data management and sharing plan},
	volume = {18},
	issn = {1553-7358},
	url = {https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1010397},
	doi = {10.1371/journal.pcbi.1010397},
	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 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Plan (DMSP) with funding applications, and while no strict template was provided, the NIH has released supplemental draft guidance on elements to consider when developing a plan.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.},
	language = {en},
	number = {8},
	urldate = {2022-08-08},
	journal = {PLOS Computational Biology},
	author = {Gonzales, Sara and Carson, Matthew B. and Holmes, Kristi},
	month = aug,
	year = {2022},
	note = {Publisher: Public Library of Science},
	keywords = {Biomedical Research, Data Management, Data management, Health care policy, Libraries, Metadata, Open source software, Reproducibility, Science policy, Software tools},
	pages = {e1010397},
}

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