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Ballou, D. P., and Pazer, H. L. Modeling Data and Process Quality in Multi-input, Multi-output Information Systems. Management Science, 31, 2 (February 1985), 150-162.

Ballou, D. P., and Pazer, H.L. Designing Data Information Systems to Optimize the Accuracy-timeliness Tradeoff. Information Systems Research, 6, 1 (1995), 51-72.

Ballou, D. P., Wang, R., Pazer, H.L., and Tayi, G.K. Modelling Information Manufacturing Systems to Determine Information Product Quality. Management Science, 44, 4 (April 1998).

Ballou, Donald P., Giri Kumar Tayi: Enhancing Data Quality in Data Warehouse Environments. Communications of the ACM 42(1): 73-78 (1999)

Barbara Pernici, Monica Scannapieco: Data Quality in Web Information Systems. In Conceptual Modeling - ER 2002: 21st International Conference on Conceptual Modeling Tampere, Finland, October 7-11, 2002. Proceedings, Springer 2002, 397-413

Beverly K. Kahn, Diane M. Strong, Richard Y. Wang: Information quality benchmarks: product and service performance. Communications of the ACM 45(4): 184-192 (2002)

Bovee, M., Srivastava, R.P., Mak, B. A Conceptual Framework and Belief- Function Approach to Assessing Overall Information Quality. In Proceedings of the Sixth International Conference on Information Quality, Cambridge, MA: MIT, 2001, pp. 311-328.

Busatto, R. Using Time Series to Assess Data Quality in Telecommunications Data Warehouses. In, Klein, B. D. and Rossin, D. F. (eds.), Proceedings of the 2000 Conference on Information Quality. Cambridge: Massachusetts Institute of Technology, 2000, pp. 129-136.

E. C. Caby, R.W. Pautke, T.C. Redman: Strategies for Improving Data Quality, Data Quality, 1, No 1, p. 4-12, March 1995.

Cappiello, C., Francalanci, C., and Pernici, B. A Model of Data Currency in Multi-channel Financial Architectures. In Proceedings of the Seventh International Conference on Information Quality (ICIQ '02), Cambridge, MA: MIT 2002, pp. 106-118.

Cappiello, C.; Francalanci, Ch.; Pernici, B.; Plebani, P.; and Scannapieco, M. Data Quality Assurance in Cooperative Information Systems: A muliti-dimensional Quality Certificate. In, Catarci, T. (ed.), Proceedings of International Workshop on Data Quality in Cooperative Information Systems. Siena, 2003, pp. 64-70.

De Fries, D.; Seidl, J.; and Windheuser, U. Datenqualität — ein unterschätzter Erfolgsfaktor. Betriebswirtschaftliche Blätter, 48, 11 (1999), 513-517 [in German].

DeLone, W. H. and McLean, E. R. Information System Success: The Quest for the Dependent Variable. Information System Research, 3, 1 (1992), 60-95.

Diane M. Strong, Yang W. Lee, Richard Y. Wang: 10 Potholes in the Road to Information Quality. IEEE Computer 30(8): 38-46 (1997)

Diane M. Strong, Yang W. Lee, Richard Y. Wang: Data Quality in Context. Communications of the ACM 40(5): 103-110 (1997)

C. A. Dvorak, M. Hatori, T.C. Redman: The Evolution of Quality, Guest Editorial IEEE Communications Magazine 26, October 1988, p. 7-8.

Eckerson, W. W. Data Quality and the Bottom Line. TDWI Report, The Data Warehouse Institute, 2002.

English, L. P. Data Quality: Meeting Customer Needs. DM Review. November, 1996.

English, L. P. The Information-Age Organization: A Profile, FMI Journal. Vol 3. No. 4. Winter 1993.

English, L. P. "Data Stewardship: A Human Solution to Data Integrity." Database Programming & Design. April 1993.

English, L. P. "Help for Data Quality Problems." Information Week. October 7, 1996.

English, L. P. Re-defining the Role of Information Management, Information Systems Management Journal. Winter 1996.

English, L. P. Transforming Information Management Into An Effective Business Enabler, Handbook of IS Management, Fifth Edition. Boston : Auerbach, 1997.

English, L. P. Plain English about Information Quality Column. DM Review. Monthly column, Jan 1997-current.

English, L. P. Information Quality Mandate for Election Reform, DM Review, Series--
October 2001
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January 2002

English, L. P. The Essentials of Information Quality Management, DM Review, September, 2002, pp. 36-44.

English, L. P. The Term 'User' Has No Place in the Information Age, DM Review, May, 2002, pp. 38-41.

English, L. P. How High is Your Customer IQ? Nashville Business Journal. September 12, 2002.

English, L. P. Total Information Quality Management: A Complete Methodology for IQ Management, Data Management Review. September 2003.

English, L. P. Information Quality and Regulation: A Management Perspective. Studies in Communication Sciences . ed. Eddo Rigotti, Vol. 4, No. 2, Dec 2004, pp. 29-52 .

English, L. P. Information Quality: A Critical Ingredient for National Security. Journal of Database Management . ed. Keng Siau, Hershey: Idea Group Publishing, 2004.

Eppler, M. J. and Wittig D. Conceptualizing Information Quality: A Review of Information Quality Frameworks from the Last Ten Years. In, Klein, B. D. and Rossin, D. F. (eds.), Proceedings of the 2000 Conference on Information Quality. Cambridge: Massachusetts Institute of Technology, 2000, pp. 83-96.

Grimmer, U. and Hinrichs, H. A Methodological Approach to Data Quality Management Supported by Data Mining. In, Pierce, E. M. and Katz-Haas, R. (eds.), Proceedings of the Sixth International Conference on Information Quality. Cambridge: Massachusetts Institute of Technology, 2001, pp. 217-232.

InduShobha N. Chengalur-Smith, Donald P. Ballou, Harold L. Pazer: The Impact of Data Quality Information on Decision Making: An Exploratory Analysis IEEE Transactions on Knowledge and Data Engineering 11(6): 853-864 (1999)

Jarke M., Jeusfeld M.A., Quix C., Vassiliadis P., Architecture and Quality in Data Warehouses: an Extended repository Approach, Information Systems, Vol.24, No. 3, 1999.

Kahn, B., Strong, D. , and Wang, R.. Information quality benchmarks: Product and service performance. Communications of the ACM, 45(4), April 2002.

Kaplan, D., Krishnan, R., Padman, R., and Peters J. Assessing Data Quality Accounting Information Systems. Communications of the ACM, 41, 2 (February 1998), 72-78

A.V. Levitin, Thomas C. Redman Data as a Resource:  Properties, Implications, and Prescriptions for Management, Sloan Management Review, Volume 40, Number 1, p. 89-101, Fall 1998

A. V. Levitin, C. J. Fox, Thomas C. Redman: Data and Data Quality, Encyclopedia of Library and Information Science Vol. 57, Supplement 20, p. 100-122, 1996.

A. V. Levitin, T.C. Redman: Quality Dimensions of a Conceptual View, Information Processing and Management, 31, No 1, p. 81-88, January 1995.

A. V. Levitin, C. J. Fox, T.C. Redman: The Notion of Data and its Quality Dimensions, Information Processing and Management, 30, No 1, p. 9-19, January 1994.

A. V. Levitin, T.C. Redman: A Model of Data (Life) Cycles with Applications to Quality, Information and Software Technology, 35, No 4, p. 217-224, April 1993.

Mecella, Massimo, Monica Scannapieco, Antonino Virgillito, Roberto Baldoni, Tiziana Catarci, Carlo Batini: Managing Data Quality in Cooperative Information Systems, 2002, pp. 486-502

Milek, J.; Reigrotzki, M.; Bosch, H.; and Block, F. Monitoring and Data Quality Control of Financial Databases from a Process Control Perspective. In, Pierce, E. M. and Katz-Haas, R. (eds.), Proceedings of the Sixth International Conference on Information Quality. Cambridge: Massachusetts Institute of Technology, 2001, pp. 189-205.

Orr, K. Data Quality and Systems Theory. Communications of the ACM, 41, 2 (February 1998), 66-71.

Paulson, L.D. Data Quality: a rising E-business Concern. IT Pro, (July/August 2000), 10-14.

R. W. Pautke, T. C. Redman: The Organization's Most Important Data Issues, (with R.W. Pautke) invited Chapter of Information and Database Quality, Kluwer, 2001.

R. W. Pautke, T. C. Redman: "Creating and Aligning High-Quality Data Resources:  What Senior Managers Need to Know," Journal of Strategic Performance Measurement, Volume 2, Number 6, p. 33-38, December 1998.

R.W. Pautke, T.C. Redman, Y.U. Huh: Data Quality Control, International Software Quality Exchange '92, Conference Proceedings, p. 7A1-27, March 1992

R.W. Pautke, T. C. Redman: Techniques to Control and Improve Quality of Data in Large Databases, Symposium '90: Measurement and Improvement of Data Quality, Proceedings, p. 319-335, Sept. 1991.

Pernici, B., M. Scannapieco, Data Quality in Web Information Systems. In Proceedings of the International Conference on Conceptual Modeling (2002), Tampere, Finland, 2002.

Pipino, Leo, Yang W. Lee, Richard Y. Wang: Data quality assessment. Communications of the ACM 45(4): 211-218 (2002)

Redman, T.C. The Impact of Poor Data Quality on the Typical Enterprise. Communications of the ACM, 41, 2 (February 1998), 79-82.

Redman, Thomas C.: A Comprehensive Approach to Data Quality Governance. White paper, Navesink Consulting Group. June 2005

Redman, Thomas C.: "Confronting Data Demons," Six-Sigma Forum Magazine, May 2004, pp. 13-22

Redman, Thomas C: Data: An Unfolding Quality Disaster, DM Review, August 2004, pp. 22-23, 57.

Redman, Thomas C.: Data Quality for E-Business, Cutter Consortium Business Intelligence Advisory Service, Executive Report, Vol. 1, No. 4, September 2001.

Redman, Thomas C.: Ending "Garbage In, Garbage Out:" IT's Role in Improving Data Quality, Guest Editor, Cutter IT Journal, Cutter Consortium, January, 2003.

Redman, Thomas C.: Financial Reform Begins at Home, in the Proceedings of the Eighth International Conference on Information Quality, November, 2003.

Redman, Thomas C.: Executive Summary: The Impact of Poor Data Quality on the Typical Enterprise," Communications of the ACM 41, p. 79-82, February 1998.

Redman, Thomas C.: Improve Data Quality for Competitive Advantage, Sloan Management Review, 36, No 2, p. 99-107, Winter 95

Redman, Thomas C.: Measurement, Information and Decision-Making, invited Chapter of Juran's Quality Handbook, Fifth Edition, scheduled for publication March 1999.

Redman, Thomas C.: Second-Generation Data Quality Systems, invited Chapter of Juran's Quality Handbook, Fifth Edition, scheduled for publication March 1999.

Redman, Thomas C.: What Those Who Know Quality Need to Understand About Data, Proceedings of the 55th Annual Quality Congress, May 2001.

Rhind, Graham: Poor data quality - the pandemic problem that needs addressing, produced in association with PostCodeAnywhere, July 2007, 9 pages

Rhind, Graham: Reducing the need for scrap and rework with web data collection, January 2006.  When collecting data on the web, companies must allow diverse visitors to record their information in a way that is familiar and comfortable to them. This paper first appeared in the B-EYE Network newsletter, 2006-1-11, 2 pages .  A version of this article appeared as Garbage in, garbage out [http://www.grcdi.nl/garbageingarbageout.pdf] in Database Marketing, February 2006, 2 pages

Rhind, Graham: A Data Quality Solution? I Can't Even See The Problem, January 2005.  How do we make people aware that they have data quality problems with their name and address data? This paper first appeared in the IAIDQ newsletter, 2005-1, 3 pages

Rhind, Graham: Addressing the Public — Delivering value with effective address and data management, produced in association with Capscan, May 2004, 13 pages

Rhind, Graham: The impact of address systems on mail volumes, produced in association with Postal Solutions, 2003, 13 pages.

Rhind, Graham: Address validation and United Kingdom Addresses, produced in association with Allies Computing Ltd, May 2003, 5 pages.  

Rhind, Graham: The Case for Address Management, September 2002.  This paper first appeared in the LISA (Localisation Industry Standards Association) newsletter, Globalisation Insider. 

Rhind, Graham: The Trouble with Standards, June 2002, 4 pages.  Why you're not likely to be using a standard for your personal name and address data management for some time. This article first appeared in Business Intelligence Report from DM Direct, 30th July 2002.

Rhind, Graham: Trends in Address Management, April 2002, 9 pages, produced in association with QAS.  US version. Why address management is important and how data entry address validation products help to improve address quality.

Rhind, Graham: Trends in Address Management, April 2002, 7 pages, produced in association with QAS.  Netherlands version in English. Why address management is important and how data entry address validation products help to improve address quality.

Rhind, Graham: Trends in Address Management, April 2002, 7 pages, produced in association with QAS.  Netherlands version in Dutch. Why address management is important and how data entry address validation products help to improve address quality.

Rhind, Graham: Addressing and e-commerce, December 2001, 3 pages. 
An article discussing the issues involved in collecting address data on the Internet, and the advantage of using online validation systems.

Rhind, Graham: The Internet is not printed on paper, November 2001, 2 pages.  
An article discussing the tendency of web page data input forms to be fixed, culturally biassed and unsuitable for a global audience. Reproduced in the IRM UK Strategic IT Newsletter, 30th November 2001.

Rhind, Graham: A Guide to International Address Management, March 2001, 12 pages, produced in association with QAS. A brochure outlining the basics of international address management.

Rudra, A. and Yeo, E. Key Issues in Achieving Data Quality and Consistency in Data Warehousing among Large Organizations in Australia. In, Proceedings of the 32^nd Annual Hawaii International Conference on System Sciences. Maui, Hawaii, 1999.

Scannapieco, M., E. Pierce, and B. Pernici. IP-UML: Towards a Methodoloy for Quality Improvement based on the IP-MAP Framework. In Proceedings of the 7th International Conference on Information Quality (ICIQ'02), Boston, MA, USA, 2002.

Shankaranarayan G., Wang R. Y. and Ziad M.: "Modeling the Manufacture of an Information Product with IP-MAP". In Proceedings of the 6th International Conference on Information Quality, Boston, MA, 2000

Soler, S. V. and Yankelevich, D. Quality Mining: A Data Mining Method for Data Quality Evaluation. In, Pierce, E. M. and Katz-Haas, R. (eds.), Proceedings of the Sixth International Conference on Information Quality. Cambridge: Massachusetts Institute of Technology, 2001, pp. 162-172.

Wand Y., Wang R.Y.: Anchoring Data Quality Dimensions in Ontological Foundations. Communication of the ACM, vol. 39, no. 11, 1996

Wang, R. Y. and Strong, D. M. Beyond Accuracy: What Data Quality Means to Data Consumers. Journal of Management of Information Systems, 12, 4 (1996), 5-33.

Wang, R. Y.; Storey, V. C.; and Firth, C. P. A framework for analysis of data quality research. IEEE Transaction on Knowledge and Data Engineering, 7, 4 (1995), 623-640.

Wang, R., Lee Yang, Leo Pipino, and Diane Strong. Manage Your Information as a Product MIT Sloan Management Review Boston, (1998): 95-105.

Wang, Richard Y., Henry B. Kon, Stuart E. Madnick: Data Quality Requirements Analysis and Modeling. Proceedings of the Ninth International Conference on Data Engineering 1993: 670-677

Wang, Richard Y., Veda C. Storey, Christopher P. Firth: A Framework for Analysis of Data Quality Research. IEEE Transactions on Knowledge and Data Engineering 7(4): 623-640 (1995)

Wang, Richard Y.: A Product Perspective on Total Data Quality Management. Communications of the ACM 41(2): 58-65 (1998)