Methodologies for data quality assessment and improvement

doi:10.1145/1541880.1541883

Methodologies for data quality assessment and improvement

Full Text:

PDF

Buy this Article

Authors:	Carlo Batini	Università di Milano - Bicocca, Milano, Italy
	Cinzia Cappiello	Politecnico di Milano
	Chiara Francalanci	Politecnico di Milano
	Andrea Maurino	Università di Milano - Bicocca, Milano, Italy

	2009 Article Research Refereed
Bibliometrics
· Downloads (6 Weeks): 133 · Downloads (12 Months): 1,161 · Downloads (cumulative): 6,017 · Citation Count: 22

Published in:

	· Journal
	ACM Computing Surveys (CSUR) Surveys Homepage archive
	Volume 41 Issue 3, July 2009 Article No. 16 ACM New York, NY, USA table of contents doi>10.1145/1541880.1541883

Tools and Resources

Buy this Article
Request Permissions
TOC Service:
- Email
- RSS
Save to Binder
Export Formats:
- BibTeX
- EndNote
- ACM Ref

Share:

|

Tags: data quality data quality assessment data quality improvement data quality measurement information system methodology miscellaneous quality dimension

Feedback | Switch to single page view (no tabs)

**Javascript is not enabled and is required for the "tabbed view" or switch to the single page view**

Powered by

The ACM Digital Library is published by the Association for Computing Machinery. Copyright © 2013 ACM, Inc.
Terms of Usage Privacy Policy Code of Ethics Contact Us

Useful downloads:

Adobe Acrobat

QuickTime

Windows Media Player

Real Player

The ACM Guide to Computing Literature

All Tags

Export Formats

Save to Binder