Data Quality

by Richard Y. Wang

Preface. 1. Introduction. 2. Extending the Relational Model to Capture Data Quality Attributes. 3. Extending the ER Model to Represent Data Quality Requirements. 4. Automating Data Quality Judgment. 5. Developing a Data Quality Algebra. 6. The MIT Context Interchange Project. 7. The European Union Data Warehouse Quality Project. 8. The Purdue University Data Quality Project. 9. Conclusion. Bibliography. Index.

188 pages, Paperback

First published January 1, 2000

About the author

Richard Y. Wang is Director of the MIT Chief Data Officer and Information Quality (CDOIQ) Program, and the Founder and Executive Director of the Institute for Chief Data Officers (iCDO) at University of Arkansas at Little Rock.