Methodologies for data quality assessment and improvement
Top Cited Papers
- 30 July 2009
- journal article
- research article
- Published by Association for Computing Machinery (ACM) in ACM Computing Surveys
- Vol. 41 (3), 1-52
- https://doi.org/10.1145/1541880.1541883
Abstract
The literature provides a wide range of techniques to assess and improve the quality of data. Due to the diversity and complexity of these techniques, research has recently focused on defining methodologies that help the selection, customization, and application of data quality assessment and improvement techniques. The goal of this article is to provide a systematic and comparative description of such methodologies. Methodologies are compared along several dimensions, including the methodological phases and steps, the strategies and techniques, the data quality dimensions, the types of data, and, finally, the types of information systems addressed by each methodology. The article concludes with a summary description of each methodology.Keywords
Funding Information
- European IST (27347)
This publication has 29 references indexed in Scilit:
- A comprehensive data quality methodology for web and structured dataInternational Journal of Innovative Computing and Applications, 2008
- The DaQuinCIS architecture: a platform for exchanging and improving data quality in cooperative information systemsInformation Systems, 2004
- Data integration under integrity constraintsInformation Systems, 2004
- From unstructured data to actionable intelligenceIT Professional, 2003
- Arktos: towards the modeling, design, control and execution of ETL processesInformation Systems, 2001
- Web information systemsCommunications of the ACM, 1998
- A product perspective on total data quality managementCommunications of the ACM, 1998
- The impact of poor data quality on the typical enterpriseCommunications of the ACM, 1998
- RMM: a methodology for structured hypermedia designCommunications of the ACM, 1995
- A Systematic Approach to Automatic Edit and ImputationJournal of the American Statistical Association, 1976