10. IQ 2005: MIT Sloan School of Management, Cambridge, MA, USA

• Paulo Oliveira, Fátima Rodrigues, Pedro Rangel Henriques:
  A Formal Definition of Data Quality Problems.
  
• Andy Koronios, Shien Lin, Jing Gao:
  A Data Quality Model for Asset Management in Engineering Organisations.
  
• M. Pamela Neely:
  The Product Approach to Data Quality and Fitness for Use: A Framework for Analysis.
  
• Frank Dravis:
  The IQ Solution Cycle.
  
• Beverly Hacker, Randy Bissett:
  The Data Quality Improvement Program is Yielding Dividends for HUD.
  
• Jonathan S. Einbinder, Vipul Kashyap, Joel L. Vengco:
  Measuring The Quality of Care Using Data From Hospital Information Systems: Issues about Data Quality.
  
• Cathal Ó Riain, Markus Helfert:
  Reasons for Disregarding Information Quality Management in Nursing Information Systems.
  
• Anton Raneses, Michael Mielke:
  Information Quality Cost Curves: Empirical Evidence from PTR / SCR Costing.
  
• Diane M. Strong, Olga Volkoff:
  Data Quality Issues in Integrated Enterprise Systems.
  
• John R. Talburt, Charles G. Morgan, Terry Talley, Ken Archer:
  The Application of Commercial Data Integration Technologies to Improve the Quality of Anonymous Entity Resolution in the Public Sector.
  
• Irit Askira Gelman:
  A Theory of Complementarity for Extracting Accurate Data from Inaccurate Sources through Integration.
  
• Ismael Caballero, Angelica Caro, Mario Piattini, Coral Calero:
  Improving Information Quality Management Using Caldea and Evamecal.
  
• Richard A. Hansen, Karen D. Cooper:
  An Introductory Analysis of the Automated Manifest System and the Global Transportation Network within the Joint Total Asset Visibility (JTAV) System Using the Defense Logistics Information Service Data Quality Plan.
  
• Mary E. Faber, Kay Eggers:
  An Introductory Analysis of the Hazardous Materials Information Resource System: Establishing Baseline Measurements for Data Quality and Application of the TDQM Method.
  
• Zbigniew J. Gackowski:
  Operations Quality of Data and Information.
  
• Adir Even, Ganesan Shankaranarayanan:
  Value-Driven Data Quality Assessment.
  
• Marcus Gebauer, Peter Caspers, Niels Weigel:
  Reproducible Measurement of Data Field Quality.
  
• Joshua C. C. Pun, Frederick H. Lochovsky:
  Finding High-Quality Web Pages Using Cohesiveness.
  
• Danilo Ardagna, Cinzia Cappiello, Marco Comuzzi, Chiara Francalanci, Barbara Pernici:
  A Broker for Selecting and Provisioning High Quality Syndicated Data.
  
• Susan L. Keenan, Terri Simmons:
  CSDQ: A User-Centered Approach to Improving the Quality of Customer Support Data.
  
• Conny Franke, Michael Hartung, Marcel Karnstedt, Kai-Uwe Sattler:
  Quality-Aware Mining of Data Streams.
  
• James A. Pelletier, Tamraparni Dasu:
  Mining Network Logs: Information Quality Challenges.
  
• Joseph Bugajski, Robert L. Grossman, Eric Sumner, Tao Zhang:
  A Methodology for Establishing Information Quality Baselines for Complex, Distributed Systems.
  
• Akihisa Kodate, Daiji Hario, Hiroyuki Kawagishi, Yasuhiro Tanaka, Takashi Baba, Satoshi Seki, Ichiro Nakajima:
  Requirements of New Emerging Services in the Ubiquitous Networking Society Based on IQ Analysis.
  
• Michael Mielke:
  IQ Principles in Software Development.
  
• Nigel Totterdell:
  How to make a start: DQ Health Check.
  
• Alan Duff:
  Master Data Management Roles - Their Part in Data Quality Implementation.
  
• Patrick Bettschen:
  Master Data Management (MDM) enables IQ at Tetra Pak.
  
• Shekhar Pradhan:
  Believability as an Information Quality Dimension.
  
• Horst Treiblmaier:
  Antecedents of the Quality of Online Customer Information.
  
• M. K. M. Ibrahim:
  Interorganizational Trust and Interorganizational System's Information Quality.
  
• Besiki Stvilia, Michael B. Twidale, Linda C. Smith, Les Gasser:
  Assessing Information Quality of a Community-Based Encyclopedia.
  
• Laure Berti-Equille, Fouzia Moussouni:
  Quality-Aware Integration and Warehousing of Genomic Data.
  
• Donna Fletcher, Mary Ann Robbert, Kurda Mohamad, Phillip Middleton:
  Using a Process Approach to Monitoring Financial Data Quality Assessment and Improvement.
  

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