{"id":3772,"date":"2021-03-24T14:04:02","date_gmt":"2021-03-24T19:04:02","guid":{"rendered":"https:\/\/sites.une.edu\/research\/?p=3772"},"modified":"2021-03-24T14:04:02","modified_gmt":"2021-03-24T19:04:02","slug":"data-management-and-sharing-requirements-tips-and-tricks-to-plan-ahead","status":"publish","type":"post","link":"https:\/\/sites.une.edu\/research\/data-management-and-sharing-requirements-tips-and-tricks-to-plan-ahead\/","title":{"rendered":"Data management and sharing requirements: Tips and tricks to plan ahead"},"content":{"rendered":"\n

March 24, 2021<\/strong><\/p>\n\n\n\n

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As you may know, including a data sharing plan as part of your grant application is already a requirement for large applications<\/a>, applications generating genomic data<\/a>, and applications to many current NIA Funding Opportunity Announcements (FOAs). Effective Jan. 25, 2023, the Final NIH Policy for Data Management and Sharing<\/a> (DMS Policy) requires all NIH-supported research that generates scientific data to include a Data Management and Sharing Plan, or \u201cPlan\u201d for short.<\/p>\n\n\n\n

Data management and sharing is an important NIH-wide priority and NIA continues to be a leader in these efforts to raise the bar for disseminating data, knowledge, research, and tools. Our colleagues\u2019 previous posts highlighted the data and resources available through NIA\u2019s open science translational research programs<\/a> and new requirements for data and biosample sharing from AD\/ADRD clinical trials<\/a>. By enabling and promoting open science practices, NIA is setting a high standard for data and resource sharing, aligning with the FAIR Principles<\/a> that open science is imperative for rigorous and reproducible research, robust innovation, and accelerated progress.<\/p>\n\n\n\n

You don\u2019t need to wait until 2023 to embrace the principles of data sharing! Getting in the habit early will benefit the advancement of science overall. As this new policy gets closer to NIH-wide implementation, following are some tips to help prospective grantees get ready.<\/p>\n\n\n\n

Preparing a Data Management and Sharing Plan: Beyond conferences and publications<\/h2>\n\n\n\n

Many NIA FOAs, regardless of budget size, already require that raw and processed primary data, analytical outputs, and biosamples be made available to the research community rapidly and broadly. This is particularly relevant for grants producing omic and genetic data or analytical and research tools. It\u2019s also germane to grants developing new animal models or using animal models to test therapeutics, as well as to clinical research grants that collect biosamples and participant-level data.<\/p>\n\n\n\n

The new NIH-wide Policy defines scientific data as \u201cthe recorded factual material commonly accepted in the scientific community as of sufficient quality to validate and replicate research findings, regardless of whether the data are used to support scholarly publications.\u201d Accordingly, Plans should outline<\/a> where, when, and how these resources will be shared.<\/p>\n\n\n\n

A comprehensive Plan should:<\/p>\n\n\n\n