Examples
Worked examples
- Is an instance
A JSON Schema validator returning errors against an RDA-CS-non-conformant DMP.
- Is an instance
A funder portal flagging a DMP that lacks a designated repository.
Counter-examples
Looks similar, but isn't
- Not an instance
A peer review of plan quality.
- Not an instance
A rubric-based assessment producing a numerical score.
Editorial commentary
A DMP compliance check is an automated or rules-based verification that a Data Management Plan (DMP) satisfies the structural and policy requirements of a specific funder, institution, or standard, typically returning a binary or itemised pass/fail result. Typical checks ask narrow, mechanical questions: does the plan nominate a repository? does it record a retention period for any dataset flagged as sensitive? does the underlying JSON actually validate against the RDA DMP Common Standard schema? Because these are structural questions rather than judgement calls, they can be automated and, for a machine-actionable DMP (maDMP), run continuously rather than only at the point of submission.
A research office most often meets compliance checks in two places: a funder portal that flags an incomplete DMP section before allowing submission, and an internal RDM system that periodically re-validates active plans against institutional policy (for example, confirming that any dataset newly marked as containing personal data now has a retention period attached). Neither replaces a human review — a plan can pass every structural check and still describe an unrealistic or poorly justified data-management strategy.
How it differs from adjacent DMP concepts
- vs. DMP assessment — assessment produces a graded, comparable score; a compliance check produces a pass/fail or itemised gap list against fixed requirements.
- vs. DMP review — review is qualitative and human; a compliance check is mechanical and can be fully automated.
References
- RDA DMP Common Standards Working Group validation reports; funder-specific compliance documentation.
Also known as
DMP validation
Machine-readable encodings
Use in your systems
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