A framework for information quality assessment

Besiki Stvilia, Les Gasser, Michael B. Twidale and Linda C. Smith

Journal of the American Society for Information Science and Technology, 2007, vol. 58, issue 12, 1720-1733

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.

Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:bla:jamist:v:58:y:2007:i:12:p:1720-1733

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