A framework for information quality assessment

  • Authors:

  • Besiki Stvilia;Les Gasser;Michael B. Twidale;Linda C. Smith

  • Affiliations:

  • College of Information, Florida State University, 269 Louis Shores Building, Tallahassee, FL, 32306, USA;Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign, 501 E. Daniel Street, Champaign, IL 61820, USA;Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign, 501 E. Daniel Street, Champaign, IL 61820, USA;Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign, 501 E. Daniel Street, Champaign, IL 61820, USA

  • Venue:
  • Journal of the American Society for Information Science and Technology
  • Year:
  • 2007

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Abstract

One cannot manage information quality (IQ) without first being able to measure it meaningfully and establishing a causal connection between the source of IQ change, the IQ problem types, the types of activities affected, and their implications. In this article we propose a general IQ assessment framework. In contrast to context-specific IQ assessment models, which usually focus on a few variables determined by local needs, our framework consists of comprehensive typologies of IQ problems, related activities, and a taxonomy of IQ dimensions organized in a systematic way based on sound theories and practices. The framework can be used as a knowledge resource and as a guide for developing IQ measurement models for many different settings. The framework was validated and refined by developing specific IQ measurement models for two large-scale collections of two large classes of information objects: Simple Dublin Core records and online encyclopedia articles. © 2007 Wiley Periodicals, Inc.