This volume presents research on information quality. Part I seeks to understand how data can be measured and evaluated for quality. Part II deals with ensuring quality while processing data into usable information. Part III presents case studies, and Part IV explores organizational issues. Part V addresses issues in information quality education.
This volume presents research on information quality. Part I seeks to understand how data can be measured and evaluated for quality. Part II deals with ensuring quality while processing data into usable information. Part III presents case studies, and Part IV explores organizational issues. Part V addresses issues in information quality education.
Stuart Madnick, Richard Wang, Elizabeth M. Pierce, Craig Fisher
Inhaltsangabe
Chapter 1 Introduction Elizabeth M. Pierce; Part I Measuring Data Quality; Chapter 2 Measuring Data Accuracy Thomas C. Redman; Chapter 3 Developing Measurement Scales for Data-Quality Dimensions Leo Pipino Richard Wang David Kopcso William Rybolt; Chapter 4 A Cyclic-Hierarchical Method for Database Data-Quality Evaluation and Improvement Jennifer A. Long Craig E. Seko; Chapter 5 Model-Based Data-Quality Evaluation Adenekan Dedeke Beverly K. Kahn; Part II Modeling and Developing Information Processes for Information Quality; Chapter 6 Building Quality into Information Supply Chains Adenekan Dedeke; Chapter 7 What's in your Information Product Inventory? Elizabeth M. Pierce; Chapter 8 IP-UML Monica Scannapieco Barbara Pernici Elizabeth Pierce; Part III Data- and Information-Quality Improvement: Case Studies; Chapter 9 Introductionducing Data-Quality Management in Data Warehousing Markus Helfert Clemens Herrmann; Chapter 10 Improving Government-to-Business Relationships through Data Reconciliation and Process Reengineering Marco Bertoletti Paolo Missier Monica Scannapieco Pietro Aimetti Carlo Batini; Chapter 11 Understanding Interdependencies between Information and Organizational Processes Raïssa Katz-Haas Yang W. Lee; Part IV Organizational Issues in Information Quality; Chapter 12 Exemplifying Business Opportunities for Improving Data Quality from Corporate Household Research Stuart Madnick Richard Wang Krishna Chettayar Frank Dravis James Funk Raïssa Katz-Haas Cindy Lee Yang W. Lee Xiang Xian Sumit Bhansali; Chapter 13 Criticality of Factors Affecting Data Quality of Accounting Information Systems Hongjiang Xu Latif Al-Hakim; partV Education and Capability Building in Information Quality; Chapter 14 Teaching Learning and Curriculum Development to Support Managing Information as a Product Diane M. Strong Craig Fisher David L. Feinstein Herbert E. LongeneckerJr; Chapter 15 Redefining the Scope and Focus of Information-Quality Work WooYoung Chung Craig Fisher Richard Wang;
Chapter 1 Introduction Elizabeth M. Pierce; Part I Measuring Data Quality; Chapter 2 Measuring Data Accuracy Thomas C. Redman; Chapter 3 Developing Measurement Scales for Data-Quality Dimensions Leo Pipino Richard Wang David Kopcso William Rybolt; Chapter 4 A Cyclic-Hierarchical Method for Database Data-Quality Evaluation and Improvement Jennifer A. Long Craig E. Seko; Chapter 5 Model-Based Data-Quality Evaluation Adenekan Dedeke Beverly K. Kahn; Part II Modeling and Developing Information Processes for Information Quality; Chapter 6 Building Quality into Information Supply Chains Adenekan Dedeke; Chapter 7 What's in your Information Product Inventory? Elizabeth M. Pierce; Chapter 8 IP-UML Monica Scannapieco Barbara Pernici Elizabeth Pierce; Part III Data- and Information-Quality Improvement: Case Studies; Chapter 9 Introductionducing Data-Quality Management in Data Warehousing Markus Helfert Clemens Herrmann; Chapter 10 Improving Government-to-Business Relationships through Data Reconciliation and Process Reengineering Marco Bertoletti Paolo Missier Monica Scannapieco Pietro Aimetti Carlo Batini; Chapter 11 Understanding Interdependencies between Information and Organizational Processes Raïssa Katz-Haas Yang W. Lee; Part IV Organizational Issues in Information Quality; Chapter 12 Exemplifying Business Opportunities for Improving Data Quality from Corporate Household Research Stuart Madnick Richard Wang Krishna Chettayar Frank Dravis James Funk Raïssa Katz-Haas Cindy Lee Yang W. Lee Xiang Xian Sumit Bhansali; Chapter 13 Criticality of Factors Affecting Data Quality of Accounting Information Systems Hongjiang Xu Latif Al-Hakim; partV Education and Capability Building in Information Quality; Chapter 14 Teaching Learning and Curriculum Development to Support Managing Information as a Product Diane M. Strong Craig Fisher David L. Feinstein Herbert E. LongeneckerJr; Chapter 15 Redefining the Scope and Focus of Information-Quality Work WooYoung Chung Craig Fisher Richard Wang;
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