<status value="active"/> <experimental value="false"/> <date value="2026-06-18T12:04:51+00:00"/> <publisher value="Selina Adlberger"/> <description value="Codes describing data-quality characteristics relevant for training-data documentation (Art. 10 AI Act)."/> <compose> <include> <system value="http://example.org/fhir/eu-ai-transparency/CodeSystem/EUAIActCodeSystem"/> <concept> <code value="representative"/> </concept> <concept> <code value="error-free"/> </concept> <concept> <code value="complete"/> </concept> <concept> <code value="relevant"/> </concept> </include> </compose> </ValueSet>

Generated Narrative: ValueSet eu-ai-data-quality-vs

Code	Display	Definition
representative	Representative	Data are sufficiently representative of the target population.
error-free	Error-Free	Data are free of errors to the best extent possible.
complete	Complete	Data are complete with regard to the intended purpose.
relevant	Relevant	Data are relevant for the intended purpose.