Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Data Quality Dimensions

  • Kai-Uwe SattlerEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_108


Data quality attributes; Data quality criteria; Data quality measurement


Data quality (DQ) is usually understood as a multi-dimensional concept. The dimensions represent the views, criteria, or measurement attributes for data quality problems that can be assessed, interpreted, and possibly improved individually. By assigning scores to these dimensions, the overall data quality can be determined as an aggregated value of individual dimensions relevant in the given application context.

Historical Background

Since the mid-1990s data quality issues have been addressed by systematic research studies. In this context, relevant dimensions of data quality have also been investigated. One of the first empirical studies by Wang and Strong [6] has identified 15 relevant dimensions out of 179 gathered criteria. This list was later supplemented by other researchers. Initially, there were proposed divergent definitions of the same dimensions, mostly due to different views, e.g.,...

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Recommended Reading

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Technische Universität IlmenauIlmenauGermany

Section editors and affiliations

  • Felix Naumann
    • 1
  1. 1.Information SystemsHasso-Plattner-InstitutePotsdamGermany