Provenance information is crucial for the quality, context and responsible access to collections. In practice, provenance data is often incomplete, fragmented or recorded inconsistently. Gaps, contradictions or uncertainties in registrations can therefore go unnoticed. With Validation, we help make these points visible. By systematically analysing provenance information, we identify missing, inconsistent or incomplete data and mark it for review by registrars or other collection specialists.

We help validate provenance information in collection registrations by automatically identifying deviations, gaps and inconsistencies. This may include missing links in ownership history, conflicting data, incomplete dating, unclear provenance locations or records that require further review. Results are not changed automatically, but marked for human assessment. This supports registrars in targeted review and prioritisation, while substantive judgement remains in human hands. It leads to more reliable provenance information and a stronger basis for research, management and responsible access.