id
	16287
Url
	https://chloe.cnr.it/s/BiDiAr/item/16287
Resource template
	Academic Article
Resource class
	bibo:AcademicArticle
Title
	Methodologies for data quality assessment and improvement
Creator
	Batini, Carlo
	Cappiello, Cinzia
	Francalanci, Chiara
	Maurino, Andrea
Date
	2009
Language
	eng
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.
Is Part Of
	ACM Computing Surveys
Doi
	https://doi.org/10.1145/1541880.1541883
Issn
	0360-0300, 1557-7341
Issue
	3
Pages
	gen-52
Volume
	41
Homepage
	https://www.zotero.org/groups/5293298/bidiar/items/4WM5QLFB/item-list

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