NIH expects researchers to maximize the appropriate sharing of scientific data, taking into account factors such as legal, ethical, or technical issues that may limit the extent of data sharing and preservation.
A DMSP must be submitted as part of the funding application for all new and competing proposals/renewals that generate Scientific Data for January 25, 2023, and subsequent receipt dates. The term Scientific Data is defined in the policy as "The 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. Scientific data do not include laboratory notebooks, preliminary analyses, completed case report forms, drafts of scientific papers, plans for future research, peer reviews, communications with colleagues, or physical objects, such as laboratory specimens."
High-level first steps
1. Determine your timeline. If you have an active NIH award going up for renewal, or if you are planning to submit an NIH proposal this year, then developing a DMSP should be a high priority, especially if you are working with external collaborators as it may take time to set up appropriate data procedures/agreements.
2. Become familiar with the policy and the related resources provided by the NIH including the application instructions.
3. Familiarize yourself with the FAIR principles (Wilkinson et al, 2016). The FAIR (findable, accessible, interoperable, reusable) data principles are the guiding principles the NIH has used in creating the new policy.
4. Determine which NIH data-sharing policies apply to your research.
5. Assess your project and data management and sharing practices relative to the policy, especially around documenting existing practices and developing new ones to address the increased emphasis on data sharing and administrative oversight. Determine whether there are any limitations on sharing your data and be prepared to address these limitations in the DMSP. Look at whether your IRB protocol submission will need to be updated in light of data-sharing expectations.
6. Review campus data services (e.g., computing, storage, consulting) and assess whether they will meet your needs. Also, consider costs you may need to include in the budget, such as labor for data cleaning and documentation (see the NIH-provided supplement on allowable costs).