Information Quality - organizational, technological, and legal perspectives

This issue of Studies in Communication Sciences dedicates its thematic section to the topic of information quality and examines the fitness for use of information from three different perspectives: the organizational, technological, and legal viewpoint. We believe that the question of what makes information valuable is essential both in theory and practice, since communication, inter alia, can be understood as the exchange of information aimed at creating and conveying meaning. Exploring the question systematically requires an interdisciplinary approach that highlights the many facets of high quality information, whether they regard content, format, time, process or infrastructure. The interdisciplinary approach, which in our case includes legal scholars, management scientists and information technology researchers, can also help to analyze the plethora of problems related to low quality information, such as misinformation, information overload, paralysis by analysis, wrong decisions, scrap and re-work, or distrust. In this introductory article, we briefly review some of the reasons that make information quality a highly relevant research topic for communication sciences and related disciplines (with numerous practical implications). We offer an overview of the state of the art in information quali-

[1]  Theodore Johnson,et al.  Exploratory Data Mining and Data Cleaning , 2003 .

[2]  F. W. Lancaster,et al.  Information quality: Definitions and dimensions: I. Wormell (Ed.). Taylor Graham, London and Los Angeles (1990). iv + 139 pp., $42. ISBN 0-947568-43-3. , 1991 .

[3]  Marsha Ann Tate,et al.  Web Wisdom: How To Evaluate and Create Information Quality on the Web , 1999 .

[4]  M. Scannapieco,et al.  Data Quality Notification in Cooperative Information Systems , 2002 .

[5]  Felix Naumann,et al.  Quality-Driven Query Answering for Integrated Information Systems , 2002, Lecture Notes in Computer Science.

[6]  Barbara Pernici,et al.  IP-UML: Towards a Methodology for Quality Improvement Based on the IP-MAP Framework , 2002, ICIQ.

[7]  Don W. Vickrey.  Normative Information Qualities: A Contrast Between Information‐Economics and FASB Perspectives , 1985 .

[8]  Anne Morris,et al.  Web Wisdom: How to Evaluate and Create Information Quality on the Web , 2000 .

[9]  Peter Wolf.  Konzept eines TQM-basierten Regelkreismodells für ein "Information Quality Management" (IQM) , 1999 .

[10]  Andrian Marcus,et al.  Data Cleansing: Beyond Integrity Analysis 1 , 2000 .

[11]  Andrian Marcus,et al.  Data Cleansing: Beyond Integrity Analysis , 2000, IQ.

[12]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[13]  Martin J. Eppler.  Managing Information Quality , 2003 .

[14]  Sheridan Titman,et al.  Information quality and the valuation of new issues , 1986 .

[15]  Richard Y. Wang,et al.  Data quality assessment , 2002, CACM.

[16]  Thomas Redman,et al.  Data quality for the information age , 1996 .

[17]  Chiara Francalanci,et al.  Time-Related Factors of Data Quality in Multichannel Information Systems , 2003, J. Manag. Inf. Syst..

[18]  Pierre Trudel.  Law in Pursuit of Information Quality , 2004 .

[19]  P. Mouncey.  Improving Data Warehouse and Business Information Quality , 2001 .

[20]  N. Roberts,et al.  Value-added processes in information systems , 1986 .

[21]  Diane M. Strong,et al.  AIMQ: a methodology for information quality assessment , 2002, Inf. Manag..

[22]  Richard Y. Wang,et al.  Manage Your Information as a Product , 1998 .