Data quality
Definition
How well data fits its intended use across dimensions like accuracy, completeness, and timeliness.
Why it matters
High-quality inputs make conclusions more trustworthy; weak quality caps what you can claim.
Example
A customer address list missing apartment numbers may be fine for city-level maps but not delivery.
Related terms
Related resources
- NIST de-identification overview (opens in new tab)
Introductory framing for protecting individuals when sharing data.
- W3C Data on the Web Best Practices (opens in new tab)
Standards-oriented checklist for publishing usable, documented datasets.