Decision support

Compare standards by the job they do

Place up to three profiles side by side. Focus on architectural role, evidence, and the first limitation to test—not on finding a single all-purpose standard.

Choose profiles

1 of 3 selected

DUOOntology / data model

Compare roles before you compare maturity.

The useful question is not “Which standard wins?” It is “Which job must this part of the architecture perform, and what remains uncovered?”

  1. Start with the job

    Decide whether you need guidance, a domain payload, exchange, semantics, governance, or a reusable release.

  2. Map lifecycle reach

    Use the matrix to see where each profile has a direct role. A filled cell is coverage, not a quality score.

  3. Test the boundary

    Read what each option leaves unresolved before judging maturity, confidence, or implementation fit.

See the reach, the gaps, and the evidence.

Read left to right. Lifecycle reach comes first; maturity remains an editorial roll-up, not certification.

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 GA4GH Data Use Ontology
ProfilePlanAcquireHarmonizeExchangeLearn + reuse
DUOOntology / data modelGA4GH Data Use Ontology has a direct role in Plan.GA4GH Data Use Ontology has no direct role recorded in Acquire.GA4GH Data Use Ontology has no direct role recorded in Harmonize.GA4GH Data Use Ontology has a direct role in Exchange.GA4GH Data Use Ontology has a direct role in Learn + reuse.
Direct role recordedNo direct role recorded

What each option does not cover

These are design boundaries, not faults. Use them to identify the companion layers your architecture still needs.

DUO

Stage boundary
No direct role is recorded for Acquire, Harmonize.
Known limitation
Ontology matching cannot resolve jurisdiction, contract, consent nuance, expiry, or downstream duties without authoritative policy and human governance.

Check the fit and evidence behind the map

Use the source, status, and limitation together. A higher maturity label does not erase a scope mismatch.

Detailed comparison of GA4GH Data Use Ontology
AssessmentDUOGA4GH Data Use Ontology
Purpose & coverage

Standardized biomedical data-use permission terms for matching controlled-access datasets to research purposes.

Best fitConsent-aware discovery, data access review, and machine-readable permitted-use conditions in genomics and health research.

Readiness stages
PlanExchangeLearn + reuse
AI-ready contributionHelps agents screen permitted uses, but does not establish lawful access, fairness, privacy protection, or security by itself.
First limitation to testOntology matching cannot resolve jurisdiction, contract, consent nuance, expiry, or downstream duties without authoritative policy and human governance.
Evidence

E1 + E2 High confidence

Formal statusGA4GH maintained production product

ReviewSource-checked

Maturity

Established

Production-status product with named implementations

Sources & links