Data Governance Record
| Term | prism:DataGovernanceRecord |
|---|---|
| Label | Data Governance Record |
| IRI | https://w3id.org/prism#DataGovernanceRecord |
| Type | rdfs:Class |
| Broader/Parent types | prism:ComplianceRecord |
| Definition | Documents data governance and management practices for training, validation, and testing datasets, as required by Article 10. Covers relevance, representativeness, error-freeness, and bias mitigation. Article 10(5) specifically requires bias detection and mitigation measures using special-category data where strictly necessary, with appropriate safeguards. |
Has applicability condition
Links a compliance record type or process obligation to the conditions under which it applies. A set of conditions that determine when an EU AI Act obligation applies. Conditions can include actor role, risk level, lifecycle stage, use case category, entity type, or any combination. An obligation may have multiple ApplicabilityConditions (disjunction — any one set of conditions is sufficient).
Article 10(1)–(4) — general data governance for high-risk AI systems.
| For actor | dpv:/legal/eu/aiact#AIProvider |
|---|---|
| For risk level | dpv:/legal/eu/aiact#RiskLevelHigh |
| At lifecycle stage | dpv:/ai#DesignStage, dpv:/ai#DevelopmentStage |
Article 10(5) — bias detection and mitigation using special-category data, applicable in sectors where discriminatory outcomes are particularly harmful (employment, credit, insurance, education, essential services).
| For actor | dpv:/legal/eu/aiact#AIProvider |
|---|---|
| For risk level | dpv:/legal/eu/aiact#RiskLevelHigh |
| For sector | dpv:/legal/eu/aiact#EmploymentSector, dpv:/legal/eu/aiact#EducationSector, dpv:/legal/eu/aiact#CriticalInfrastructureSector |
| At lifecycle stage | dpv:/ai#DesignStage, dpv:/ai#DevelopmentStage |