Handbook of Data Quality

1. Prologue: Research and Practice in Data Quality Management
Shazia Sadiq

Part I. Organizational Aspects of Data Quality

2. Data Quality Management Past, Present, and Future: Towards a Management System for Data
Thomas C. Redman

3. Data Quality Projects and Programs
Danette McGilvray

4. Cost and Value Management for Data Quality
Mouzhi Ge, Markus Helfert

5. On the Evolution of Data Governance in Firms: The Case of Johnson & Johnson Consumer Products North America
Boris Otto

Part II. Architectural Aspects of Data Quality

6. Data Warehouse Quality: Summary and Outlook
Lukasz Golab

7. Using Semantic Web Technologies for Data Quality Management
Christian Fürber, Martin Hepp

8. Data Glitches: Monsters in Your Data
Tamraparni Dasu

Part III. Computational Aspects of Data Quality

9. Generic and Declarative Approaches to Data Quality Management
Leopoldo Bertossi, Loreto Bravo

10. Linking Records in Complex Context
Pei Li, Andrea Maurino

11. A Practical Guide to Entity Resolution with OYSTER
John R. Talburt, Yinle Zhou

12. Managing Quality of Probabilistic Databases
Reynold Cheng

13. Data Fusion: Resolving Conflicts from Multiple Sources
Xin Luna Dong, Laure Berti-Equille, Divesh Srivastava

Part IV. Data Quality in Action

14. Ensuring the Quality of Health Information: The Canadian Experience
Heather Richards, Nancy White

15. Shell’s Global Data Quality Journey
Ken Self

16. Creating an Information-Centric Organisation Culture at SBI General Insurance
Ram Kumar, Robert Logie

17. Epilogue: The Data Quality Profession
Elizabeth Pierce, John Talburt, C. Lwanga Yonke

Avainsanat: Computer Science, Database Management, Information Storage and Retrieval, Management of Computing and Information Systems, Files