Data management plans have evolved from administrative checkboxes to legally binding commitments. NIH's 2023 policy shift makes your NIH data management and sharing plan template a contract — not a formality. Reviewers now score DMPs alongside scientific merit.
This DMP tool addresses three critical challenges:
- Funder-Specific Requirements — NIH requires 7 elements; NSF requires 2 sections; Horizon Europe demands 6 questions. Templates don't transfer.
- FAIR Compliance — Findable, Accessible, Interoperable, Reusable principles determine whether your data meets open science standards.
- Integration with Research Design — your data analysis plan, DMP, and methodology sections must align.
For comprehensive data management guidance, see our post on The Data Management Disaster.
NIH Data Management and Sharing Plan template requirements
NIH's 2023 policy established seven required elements:
- Data Type — describe scientific data to be generated, including modality and estimated volume.
- Related Tools, Software, Code — list analysis tools needed for data interpretation.
- Standards — community standards for data and metadata.
- Data Preservation, Access, Timelines — repository, access mechanism, release schedule.
- Access, Distribution, Reuse Considerations — informed consent, privacy, proprietary data.
- Oversight — name individual(s) responsible for data management.
For NIH-specific proposal strategies, see The NIH R01 Decoded.
NSF Data Management Plan best practices
NSF data management plans require two sections: (1) data types, standards, and access policies; (2) provisions for reuse, redistribution, and derivative products. Unlike NIH, NSF doesn't mandate specific repositories but expects justification of choices. Reference discipline norms (e.g., GenBank for genomics); assume a 10-year minimum preservation expectation; address intellectual property if applicable; and reflect DMP commitments in your budget narrative for data curation.
Understanding FAIR data principles
The wizard calculates a FAIR score (0–100) evaluating your plan against Findable (persistent identifiers, rich metadata), Accessible (open access when possible), Interoperable (community standards), and Reusable (clear licenses, provenance) criteria. Scores above 70 indicate strong FAIR alignment; below 50 suggests insufficient detail for reviewers.
Complementary compliance tools
DMPs reference IRB protocols and informed consent — review The Ethics Section Nobody Reads for compliance strategy. Use our Pre-Submission Checklist to verify DMP requirements, and Plot Digitizer for meta-analysis data.
Official resources: NIH Data Sharing Policy, NSF Data Management Plan Requirements, and the Horizon Europe DMP Guidelines.
