2. IQ 1997: MIT Sloan School of Management, Cambridge, MA, USA

@proceedings{DBLP:conf/iq/1997,
  editor    = {Diane M. Strong and
               Beverly K. Kahn},
  title     = {Second Conference on Information Quality (IQ 1997)},
  booktitle = {IQ},
  publisher = {MIT},
  year      = {1997},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Information Quality in the Healthcare Industry

• Lane A. Ongstad: A Risk Focused Model for Improving Information Quality: Lessons from the Science of Epidemiology. 1-18
• Rema Padman, Melissa Tzourakis: Quality Metrics for Healthcare Data: An Analytical Approach. 19-36
• David J. Corey: Data Quality Improvement Activities in the Military Health Services System and the U.S. Army Medical Department. 37-62

Information Quality Improvement Frameworks and Methods

• Rita Kovac, Yang W. Lee, Leo Pipino: Total Data Quality Management: The Case of IRI. 63-79
• Beverly K. Kahn, Diane M. Strong, Richard Y. Wang: A Model for Delivering Quality Information as Product and Service. 80-94
• Donna Meyen, Mary Jane Willshire: A Data Quality Engineering Framework. 95-116

Assuring Information Quality through Software Quality

• Tor Guimaraes, Youngohc Yoon, Aaron Clevenson: Exploring Some Determinants of ES Quality. 117-131
• Olayele Adelakun: Quality - What Does it Mean for Strategic Information Systems. 132-147
• Ellen Christiaanse: Information Quality as a Strategic Asset in Inter-Firm Relationships. 148-169

Information Quality Improvement Tools

• Elizabeth M. Pierce: Using P-Charts to Track Data Quality (Some Observations based on a simulation study). 170-186
• Laure Berti: Out of Overinformation by Information Filtering and Information Quality Weighting. 187-193
• William Haebich: A Quantitative Model to Support Data Quality Improvement. 194-208

Data Quality for Decision Making

• InduShobha N. Chengalur-Smith, Donald P. Ballou, Harold L. Pazer: The Impact of Data Quality Tagging on Decision Complacency. 209-225
• Barbara D. Klein, Donald F. Rossin: A Preliminary Analysis of Data Quality in Neural Networks. 226-248
• Richard G. Mathieu, Omar Khalil: Teaching Data Quality in the Undergraduate Database Course. 249-266

Data Quality in Data Warehouses

• Eva Gardyn: A Data Quality Handbook for a Data Warehouse. 267-290
• Stephen M. Brown: Preparing Data for the Data Warehouse. 291-298
• Matthias Jarke, Yannis Vassiliou: Data Warehouse Quality: A Review of the DWQ Project. 299-313

Information Integrity in Databases

• Vijay V. Mandke, Madhavan K. Nayar: Information Integrity: A Structure for its Definition. 314-338
• Arnon Rosenthal, Paul Dell: Propagating Integrity Information in Multi-Tiered Database Systems. 339-351
• Jessica Hu, Kuan-Tsae Huang, Kazashi Kuse, Geng-Wen Su, Ko-Yang Wang: Customer Information Quality and Knowledge Management: A Case Study Using Knowledge Cockpit. 352-372