Abstract
Information systems have been rapidly evolving from monolithic/ transactional to network/service based systems. The issue of data quality is becoming increasingly important, since information in new information systems is ubiquitous, diverse, uncontrolled. In the paper we examine dat a quality from the point of view of dimensions and methodologies proposed for data quality measurement and improvement. Dimensions and methodologies are examined in their relationship with the different types of data, from structured to unstructured, the evolution of information systems, and the diverse application areas.
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© 2006 International Federation for Information Processing
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Batini, C., Pernici, B. (2006). Data Quality Management and Evolution of Information Systems. In: Avison, D., Elliot, S., Krogstie, J., Pries-Heje, J. (eds) The Past and Future of Information Systems: 1976–2006 and Beyond. IFIP WCC TC8 2006. IFIP International Federation for Information Processing, vol 214. Springer, Boston, MA . https://doi.org/10.1007/978-0-387-34732-5_5
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DOI: https://doi.org/10.1007/978-0-387-34732-5_5
Publisher Name: Springer, Boston, MA
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