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Towards Improving Data Quality
Daniel Aebi, Louis Perrochon. Institute for Information Systems, ETH Zürich

Proceedings of the International Conference on Information Systems and Management of Data (CISMOD'93), Delhi, October 1993

Keywords: data quality

Language: English

Abstract:

This paper is based on the notion of data quality. It includes correctness, completeness and minimality for which a notational framework is shown. In long living databases the maintenance of data quality is a first order issue. This paper shows that even well designed and implemented information systems cannot guarantee correct data in any circumstances. It is shown that in any such system data quality tends to decrease and therefore some data correction procedure should be applied from time to time. One aspect of increasing data quality is the correction of data values. Characteristics of a software tool which supports this data value correction process are presented and discussed.

Available files: [ gzipped Postscript ]

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