Place up to three profiles side by side. Compare their architectural role, lifecycle reach, and first limitation to test. No single standard covers every layer.
Working set
Choose profiles
1 of 3 selected
01
RDA maDMPMetadata profile
Decision lens
Compare roles before choosing an implementation.
The useful question is not “Which standard wins?” It is “Which job must this part of the architecture perform, and what remains uncovered?”
01
Start with the job
Decide whether you need guidance, a domain payload, exchange, semantics, governance, or a reusable release.
02
Map lifecycle reach
Use the matrix to see where each profile has a direct role. A filled cell is coverage, not a quality score.
03
Test the boundary
Read what each option leaves unresolved before judging maturity or implementation fit.
Assessment
Review lifecycle coverage and practical fit.
Read left to right. Lifecycle reach comes first; a maturity label never overrides a scope mismatch.
01 · Lifecycle reach
Where each profile contributes directly
Coverage shows a recorded role at that readiness stage. It does not imply end-to-end implementation.
Readiness-stage coverage for RDA DMP Common Standard for Machine-actionable Data Management Plans
No direct stage gap is recorded. Lifecycle reach still does not make this an end-to-end implementation.
Known limitation
The 2019 RDA endorsement and the later v1.2 repository release are distinct status claims; the profile does not impose funder rules, prove that declared actions occurred, or replace domain metadata.
03 · Detailed assessment
Check the fit and source behind the map
Use the official source, version, and limitation together. A higher maturity label does not erase a scope mismatch.
Detailed comparison of RDA DMP Common Standard for Machine-actionable Data Management Plans
Assessment
RDA maDMPRDA DMP Common Standard for Machine-actionable Data Management Plans
Purpose & coverage
A machine-actionable application profile for projects, datasets, distributions, contributors, funding, costs, repositories, licenses, identifiers, security, privacy, quality assurance, preservation, and technical resources across a data-management plan.
Best fitPlanning and maintaining computable data-governance commitments that can move among researchers, funders, repositories, and infrastructure providers.
Readiness stages
PlanAcquireHarmonizeExchangeLearn + reuse
AI-ready contribution
Makes ownership, access, quality, preservation, and reuse planning inspectable by tools and agents, while scientific validity and accountable approval remain external.
First limitation to test
The 2019 RDA endorsement and the later v1.2 repository release are distinct status claims; the profile does not impose funder rules, prove that declared actions occurred, or replace domain metadata.
Maturity
Scaling
Endorsed RDA Recommendation with a maintained v1.2 application profile; adoption remains tool and funder specific