Data quality
The degree to which data is accurate, complete, timely and fit for the specific use being made of it — assessed against declared expectations rather than in the abstract.
Why it matters
Quality is relative to purpose, which is why generic scores are close to useless. The governance-relevant form is the executable data contract: an expectation that fails is a control that fired, and a failed control is evidence. For systematic strategies the specific dimension that matters most is point-in-time correctness, which most quality frameworks do not test.
Relationships
Typed edges into the rest of the ontology. These are what make the canon traversable rather than merely readable.
| Verb | Target | Meaning |
|---|---|---|
relatedTo | Point In Time Correctness | An association too weak or too general for a stronger verb. |
addresses | Oversight | The subject speaks to the object as a question or concern. |
Record
| Canonical identifier | QIS-TERM-00048 |
| Status | Canonical industry term |
| Adoption | Widely used |
| Domain · Layer | Stack categories · Intelligence |
| Origin | Data management practice; defined in the AIEOG Lexicon as usefulness, accuracy and correctness of data for its application. |
| Semantic aliases | None recorded. |
| First published | 2026-08-02 |
| Last reviewed | 2026-08-02 · 180-day cycle |
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