Skip to main content

Data Quality Models

  • Reference work entry
  • First Online:
Encyclopedia of Database Systems
  • 181 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 4,499.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 6,499.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Recommended Reading

  1. Batini C, Scannapieco M. Data quality: concepts, methodologies, and techniques. Berlin: Springer; 2006.

    MATH  Google Scholar 

  2. Scannapieco M, Pernici B, Pierce EM. IP-UML: towards a methodology for quality improvement based on the IP-MAP framework. In: Proceedings of the 7th International Conference on Information Quality; 2002.

    Google Scholar 

  3. Scannapieco M, Virgillito A, Marchetti C, Mecella M, Baldoni R. The DaQuinCIS architecture: a platform for exchanging and improving data quality in cooperative information systems. Inf Syst. 2004;29(7):551–82.

    Article  Google Scholar 

  4. Shankaranarayan G, Wang RY, Ziad M. Modeling the manufacture of an information product with IP-MAP. In: Proceedings of the 5th International Conference on Information Quality; 2000. p. 1–16.

    Google Scholar 

  5. Storey VC, Wang RY. An analysis of quality requirements in database design. In: Proceedings of the 4th International Conference on Information Quality; 1998. p. 64–87.

    Google Scholar 

  6. Wang RY, Madnick SE. A polygen model for heterogeneous database systems: the source tagging perspective. In: Proceedings of the 16th International Conference on Very Large Data Bases; 1990. p. 519–38.

    Google Scholar 

  7. Wang RY, Reddy MP, Kon H. Toward data quality: an attribute-based approach. Decis Support Syst. 1995;13(3–4):349–72.

    Article  Google Scholar 

  8. Wang RY, Ziad M, Lee YW. Data quality. Boston: Kluwer; 2001.

    MATH  Google Scholar 

  9. W3C Working Group. An overview of the PROV family of documents. Available at: http://www.w3.org/TR/prov-overview/

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Monica Scannapieco .

Editor information

Editors and Affiliations

Section Editor information

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Science+Business Media, LLC, part of Springer Nature

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Scannapieco, M. (2018). Data Quality Models. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_109

Download citation

Publish with us

Policies and ethics