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
ISO/IEC 11179Standard
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 ISO/IEC 11179 Metadata Registries (MDR)
The suite is an abstract metamodel rather than a ready-made catalog API; parts version independently, much normative text is not freely available, and useful deployment requires a scoped profile and governance process.
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 ISO/IEC 11179 Metadata Registries (MDR)
Frameworks and metamodels for registering metadata items with governed identification, naming, definitions, classification, mappings, registration status, administration, and dataset descriptions.
Best fitEnterprise or federated registries that must govern the meaning and lifecycle of data elements, concepts, value domains, classifications, and related metadata independently of a storage platform.
Readiness stages
PlanHarmonizeExchangeLearn + reuse
AI-ready contribution
Stable, administered definitions and mappings reduce feature ambiguity and schema drift, but registry conformance does not establish data quality, representativeness, or fitness for a model.
First limitation to test
The suite is an abstract metamodel rather than a ready-made catalog API; parts version independently, much normative text is not freely available, and useful deployment requires a scoped profile and governance process.
Maturity
Established
Established multi-part metadata-registry standard; parts and amendments version independently