Document (#10515)

Author

Levitin, A.
Redman, T.

Title

Quality dimensions of a conceptual view

Source

Information processing and management. 31(1995) no.1, S.81-88

Year

1995

Abstract

Data quality is usually associated with the quality of data values. But even correct data values are of little use if they are based on a deficient data model. Discusses a list of characteristics (dimensions) that are crucial for data model quality. Singles out 14 quality dimensions, organized into 6 categories: content, scope, level of detail, composition, consistency, and reaction to change. Discusses 2 types of correlation among dimensions called 'reinforcements' and 'tradeoffs'

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