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Erschienen in:
2016 | OriginalPaper | Buchkapitel
Data Quality
verfasst von : Christian Fürber
Erschienen in: Data Quality Management with Semantic Technologies
Verlag: Springer Fachmedien Wiesbaden
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Data quality is a multidimensional concept (Batini & Scannapieco, 2006, p. 19ff.; Eppler, 2006; Redman, 1996, p. 245ff.; Wand & Wang, 1996, p. 87; Wang & Strong, 1996, p. 22f.) that can be defined from several different perspectives (cf. Ge & Helfert, 2007, p. 1; Kahn et al., 2002, p. 185). For example, data consumers, data producers, data providers, and data custodians may all have different perspectives on the definition of data quality (cf. Kahn et al., 2002, p. 184). From the consumer viewpoint, data quality can be defined as “data that are fit for use by data consumers” (Wang & Strong, 1996, p. 6) in analogy to the popular quality definition related to products and services by Juran (Juran, 1988, p. 2.2).