Academic Article

Methodologies for data quality assessment and improvement

Title
Methodologies for data quality assessment and improvement
Creator(s)
Batini, Carlo
Cappiello, Cinzia
Francalanci, Chiara
Maurino, Andrea
Date
2009
Is Part Of
ACM Computing Surveys
Volume
41
Issue
3
Pages
gen-52
Language
eng
ISSN
0360-0300, 1557-7341
DOI
https://doi.org/10.1145/1541880.1541883
Zotero BiDiAr
https://www.zotero.org/groups/5293298/bidiar/items/4WM5QLFB/item-list
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.

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