Beyond accuracy¶
Wang, R. Y., & Strong, D. M. (1996). Beyond accuracy: What data quality means to data consumers. Journal of Management Information Systems, 12(4), 5-33.
Cited by¶
1 citation across 1 artifact.
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Primes¶
- Quality Control
- Data quality: Data-validation pipelines (completeness, accuracy, consistency checks), schema compliance, duplicate detection, outlier flagging, reference-data validation, structured around the multi-dimensional data-quality framework Wang and Strong (1996) developed from a consumer perspective.
This sourceFoundational data-quality framework organizing 15 dimensions across intrinsic, contextual, representational, and accessibility categories; the canonical reference for data-validation pipeline design.
- Data quality: Data-validation pipelines (completeness, accuracy, consistency checks), schema compliance, duplicate detection, outlier flagging, reference-data validation, structured around the multi-dimensional data-quality framework Wang and Strong (1996) developed from a consumer perspective.
Verification¶
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Registry ID ref:585fd25d8890 · see in the full table