Glossary term
Glossary term
Governance and Compliance
The fitness of data for its intended AI purpose. Quality dimensions include accuracy, completeness, timeliness, consistency, representativeness, labeling reliability, and absence of harmful contamination. Quality thresholds should be tied to the use case.
DAMA's data quality dimensions framework is widely adopted across industries for measuring fitness for purpose.
Andrew Ng's data-centric AI movement (2021 onwards) emphasizes systematic data quality improvement as a key driver of model performance.
ISO 8000 provides international standards for data quality applicable to AI training datasets.