Funding agencies such as the National Institutes of Health and National Science Foundation now require that data management plans (DMPs) or data management and sharing plans (DMSPs) be submitted along with grant proposals. We expect that other agencies will follow suit.
What is a data management plan (DMP) or data management and sharing plan (DMSP)?
A DMP or DMSP documents what a researcher or group will do with the data collected in the course of their project, and upon completion of their research.
What should be included in a DMP or DMSP?
Specifics vary by discipline, but some common considerations for drafting a plan include:
- Data characteristics - How much data will be generated, and in what file formats? Are these formats proprietary?
- Data documentation - What file naming conventions and data identifiers will be used to organize data? Is there a standard metadata schema or ontology used in your field for data documentation?
- Longevity and responsibility - How long should data be retained? What strategies will be used for storage and backup? Who in the research group, department, or university will be responsible for controlling and managing these activities?
- Sharing, usage and publication - Who may use the data? Have you chosen an archive for your data?
- Privacy or security considerations - Is any of the data personally identifiable, or might it pose a security risk?
What is the difference between a data management plan (DMP) and a data management and sharing plan (DMSP)?
Different funders may refer to these plans as either DMPs or DMSPs, but the difference is largely semantic. While funders vary a bit in their requirements, the major components of these plans are largely the same. As of summer 2023, funders are beginning to move towards common language, referring to all plans as DMSPs.