Difference between revisions of "A framework for information quality assessment"

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Latest revision as of 16:40, February 6, 2014

Publication (help)
A Framework for Information Quality Assessment
Authors: Besiki Stvilia, Les Gasser, Michael B. Twidale, Linda C. Smith [edit item]
Citation: Journal of the American Society for Information Science and Technology 58 (12): 1720-1733. 2007.
Publication type: Journal article
Peer-reviewed: Yes
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Link(s): Paper link
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A Framework for Information Quality Assessment is a publication by Besiki Stvilia, Les Gasser, Michael B. Twidale, Linda C. Smith.


[edit] 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.

[edit] Research questions

""This article proposes a general IQ assessment framework" (p. 1720), i.e. the research question could be: what would a context-independent information quality measurement framework be like?"

Research details

Topics: Comprehensiveness, Currency, Featured articles, Readability and style [edit item]
Domains: Information science, Library science [edit item]
Theory type: Analysis, Explanation [edit item]
Wikipedia coverage: Case [edit item]
Theories: "information theory, theory of Information Use Environments" [edit item]
Research design: Case study, Statistical analysis [edit item]
Data source: Wikipedia pages [edit item]
Collected data time dimension: Longitudinal [edit item]
Unit of analysis: Article, Edit [edit item]
Wikipedia data extraction: Live Wikipedia [edit item]
Wikipedia page type: Article, History, Quality management [edit item]
Wikipedia language: English [edit item]

[edit] Conclusion

""In this article, we introduced a general framework for IQ assessment. The framework consists of the typologies of IQ variance, the activities affected, a comprehensive taxonomy of IQ dimensions along with general metric functions, and methods of framework operationalization. The framework establishes causal connections among the sources of IQ variance attributable to potential IQ problem structures and types of activities, and it provides a simple and powerful predictive mechanism to study IQ problems and reason through them in a systematic and meaningful way. The framework can serve as a valuable knowledge resource and guide for the rapid and inexpensive development of specific IQ measurement models in many different settings by suggesting relevant IQ dimensions, trade-off relations, relevant general metric functions, and methods of operationalization. The framework has been successfully applied to develop IQ measurement models for two large-scale collections of two large classes of information objects, DC records, and encyclopedia articles." (p. 1732)"

[edit] Comments


Further notes[edit]