Trust, governance and limitations

    Trust requires more than a provenance label. This category explains how the draft models claims, evidence, verification and assurance; how it annotates personal-data concerns; and where its limitations, consumer traps, by-design gaps and unresolved validator caveats are recorded rather than hidden.

    schema-derived draft with explicit limitations

    This semantic corpus is not an approved SPDTF ontology, a runtime authorisation system, a legal compliance decision or proof that source data is true. Its governance annotations and deterministic checks have only the authority and scope stated on their pages. Read the known-issues register before relying on the model.

    Keep four concerns separate

    ConcernWhat the corpus recordsWhat remains outside it
    Claim provenancePROV-O derivation, verification activities, evidence roles and assurance-related concepts.Whether a claim is factually true in a particular transaction.
    SensitivityDPV references and PII-bearing annotations kept outside the class and shapes graphs.Runtime access control, consent operations and organisation-specific legal assessment.
    GovernanceRecorded modelling decisions, separation rules and page-level status.Approval of SPDTF meaning or promotion to a governed release.
    LimitationsDated caveats, thin profiles, inference traps, validator settings and re-open triggers.A guarantee that no unrecorded defect or consumer-specific risk exists.

    Review trust and limitations

    Semantic governance is not programme governance

    The ontology pages describe governance concepts and the decisions that shaped this corpus. Cross-programme decision rights, lifecycle and promotion rules belong in the site’s Governance destination. For the audit trail connecting individual modelling choices to records, use Lineage, provenance and verification.

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