8. IQ 2003: MIT Sloan School of Management, Cambridge, MA, USA

@proceedings{DBLP:conf/iq/2003,
  editor    = {Martin J. Eppler and
               Markus Helfert},
  title     = {Eighth International Conference on Information Quality (IQ 2003),
               November 7-9. 2003},
  booktitle = {IQ},
  publisher = {MIT},
  year      = {2003},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Panel Session: Federal Data Quality Issues

• James D. Funk: Federal Data Quality Issues. 1
• Bryan Aucoin: Information Management and Data Quality. 2-5
• Kevin Fitzpatrick: Federal Data Quality Issues. 7
• Beverly Hacker: Federal Data Quality Issues. 8-9

Data Quality Case Studies

• Adrian McKeon: Barclays Bank Case Study: Using Artificial Intelligence to Benchmark Organizational Data Flow Quality. 10-13
• Andy Zone, Mark Houston: Data Integration & Information Quality: Case Studies Addressing Interface Risk. 14-16
• Wyndolyn Smith-Adams, John R. Talburt: Conducting an Information Product Competitor Analysis: Case Study. 17-19

Panel Session: Certification Curriculum for IQ Professionals

• Elizabeth M. Pierce: Becoming a Certified Information QUality Analyst. 21
• Mary Ann Robbert: Who is Responsible for the Quality of the Data? 22
• Kewal Dhariwal, Brett Champlin: Information Quality Certification - Points to Consider. 23
• Michael Mielke: Certification Curriculum for IQ Professionals. 24

Conceptualizing Information Quality

• Paolo Missier, Carlo Batini: A Multidimensional Model for Information Quality in Cooperative Information Systems. 25-40
• Andreas Neus: Evolving Knowledge: Time as the Forgotten dimension of Information Quality. 41-50
• Fatma Mili, Krish Narayanan: Theoretical Framework for Defining Validity and Quality in Modeling. 51-63

Impact and Effects of Data Quality

• Dominique Haughton, Mary Ann Robbert, Linda P. Senne, Vismay Gada: Effect of Dirty Data on Analysis Results. 64-79
• Markus Helfert, Bernd Heinrich: Analyzing Data Quality Investments in CRM: a Model-Based Approach. 80-95
• Yang W. Lee, Diane M. Strong: Process Knowledge and Data Quality Outcomes. 96-107

Information Quality Issues on the Web

• Martin J. Eppler, René Algesheimer, Marcus Dimpfel: Quality Criteria of Content-Driven Websites and their Influence on Customer Satisfaction and Loyalty: an Empirical Test of an Information Quality Framework. 108-120
• Abrar Haider, Andy Koronios: Authenticity of Information in Cyberspace: IQ in the Internet, Web, and e-Business. 121-132
• Gernot Gräfe: Incredible Information on the Internet: Biased Information Provision and a Lack of Credibility as a Cause of Insufficient Information Quality. 133-145

Analyzing Data Quality

• Mark Ofori-Kyei, Troy Lamoreaux, Padma Kulkarni, Rick Thompson, Sai Kalapala: Data Quality Based Applications Testing. 147-151
• Nigel Totterdell: Data Diagnosis: Making DQ Assessment Work. 152-156

Information QUality Evaluation and Assessment

• Elizabeth M. Pierce: Pursuing a Career in Information Quality: the Job of the Data Quality Analyst. 157-165
• John R. Talburt: Shared System for Assessing Consumer Occupancy and Demographic Accuracy. 166-177
• G. Shankar, Stephanie Watts: A Relevant, Believable Approach for Data Quality Assessment. 178-189

Data Mining and Record Matching

• Eitel J. M. Lauría, Giri Kumar Tayi: A Comparative Study of Data Mining Algorithms for Network Intrusion Detection in the Presence of Poor Quality Data. 190-201
• Andrew Borthwick: Record Matching for a Large Master Client Index at the New York City Health Department. 202-206
• Martin Buechi, Andrew Borthwick, Adam Winkel, Arthur Goldberg: ClueMaker: A Language for Approximate Record Matching. 207-223

Managing Information Quality

• Adenekan Dedeke: Managing Processes for Information Quality: a Framework for Process Metadata Development. 224-233
• David Edwards, Frank M. Guess, Timothy Young: Improving and Managing Information Quality in Forest Products. 234-238
• Peggy Leonowich-Graham, Mary Jane Willshire: A Data Quality Framework for Small Businesses. 239-244

Data Quality Case Studies II

• Aman Naimat, Allison Waingold: Measuring Sales and Marketing Data Quality: A Rule Based Approach. 245-256
• Traci Campbell, Zack Wilhoit: How's your Data Quality? A Case Study in Corporate Data Quality Strategy. 257-264
• Vish Vishwanath: The Challenge of International Data Quality and Unicode. 265-268

Data Quality Applied

• Heiko Müller, Felix Naumann: Data Quality in Genome Databases. 269-284
• Thomas Redman: Financial Reform Begins at Home. 285-296
• Mikhaila Burgess, W. A. Gray, N. J. Fiddian: A Flexible Quality Framework for Use within Information Retrieval. 297-314

Methods, Techniques, and Tools

• Greg Holland: Methods for Building Data Elements for Multi-sourced Data Products. 314-318
• M. David Allen, Susan Carter, Peter Aiken, Mary Kay Cyrus, Kathy Wade, Sid McCormac: Extracting Data from Free-Text Fields: Assuring Data Quality for ERP Implementation. 319-330
• Cinzia Cappiello, Chiara Francalanci, Barbara Pernici: Preserving Web Sites: a Data Quality Approach. 331-344

Organizational Issues in Data Quality

• Yihua Philip Sheng: Exploring the Mediating and Moderating Effects of Information Quality on Firms? Endeavor on Information Systems. 344-353
• Sergei Savchenko: Automating Objective Data Quality Assessment (Experiences in Software Tool Design). 353-364
• Hongjiang Xu: Would Organization Size Matter For Data Quality. 365-379