IAIDQ's Information and Data Quality Newsletter
Vol. 6 Issue 1—January 2010
In this edition…
Guy Tozer presents sage and timeless advice for information and data quality professionals in The Golden Rules of Data Quality Management; consider this a suggested list of new year resolutions.
Saša (Sasha) Baškarada presents research findings from the recently published book IQM-CMM: Information Quality Management Capability Maturity Model. This research identifies a wide range of information quality management maturity indicators and maps them to a staged evolutionary capability maturity model.
Jack Olson starts a two-part series on Data Quality Assurance. Part One, which appears in this quarter's issue, focuses on the goals, structure, and methods that any Data Quality Assurance program must consider.
Daragh O Brien, in part 3 of his series on KPIs for Information Quality, explores the Psychology of Rewards and emphasizes the need to carefully align our Information Quality objectives, goals, metrics, and rewards.
Graham Rhind elaborates on the benefits of designing web-based forms that ensure high-quality data gathering, and points us to design solutions that are freely available in his e-book, Better Data Quality from your Web Forms.
- IAIDQ Thanks its Sponsors and Donors
- Transitions on the IAIDQ board
- 2010 Information and Data Quality Conference
- Call for contributions to future issues of the IAIDQ Newsletter
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The Information and Data Quality Newsletter is a quarterly publication of the International Association for Information and Data Quality
This Issue’s Editor: C. Lwanga Yonke, Michelle C. Dy
If you are interested in joining the Newsletter Working Group, please contact the Editor-in-Chief via email.
© 2010 International Association for Information and Data Quality
Authors of contributed content retain their respective copyrights. The Editorial Board and the International Association for Information and Data Quality cannot be held responsible for any errors or omissions, and accepts no liability whatsoever for any loss or damage howsoever arising. Opinions expressed within the contributions and relevant linked pages are those of their respective authors.