Browse wiki

A framework for information quality assessment
Abstract One cannot manage information quality (IQ)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. records and online encyclopedia articles.
Added by wikilit team Yes  +
Collected data time dimension Longitudinal  +
Conclusion "In this article, we introduced a general "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)rds, and encyclopedia articles." (p. 1732)
Data source Wikipedia pages  +
Google scholar url http://scholar.google.com/scholar?ie=UTF-8&q=%22A%2BFramework%2Bfor%2BInformation%2BQuality%2BAssessment%22  +
Has author Besiki Stvilia + , Les Gasser + , Michael B. Twidale + , Linda C. Smith +
Has domain Information science + , Library science +
Has topic Comprehensiveness + , Currency + , Featured articles + , Readability and style +
Issue 12  +
Pages 1720-1733  +
Peer reviewed Yes  +
Publication type Journal article  +
Published in Journal of the American Society for Information Science and Technology +
Research design Case study  + , Statistical analysis  +
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?
Revid 11,155  +
Theories information theory, theory of Information Use Environments
Theory type Analysis  + , Explanation  +
Title A Framework for Information Quality Assessment
Unit of analysis Article  + , Edit  +
Url http://dl.acm.org/citation.cfm?id=1294896  +
Volume 58  +
Wikipedia coverage Case  +
Wikipedia data extraction Live Wikipedia  +
Wikipedia language English  +
Wikipedia page type Article  + , History  + , Quality management  +
Year 2007  +
Creation dateThis property is a special property in this wiki. 14 August 2012 21:51:53  +
Categories Comprehensiveness  + , Currency  + , Featured articles  + , Readability and style  + , Information science  + , Library science  + , Publications with missing comments  + , Publications  +
Modification dateThis property is a special property in this wiki. 6 February 2014 16:40:47  +
hide properties that link here 
  No properties link to this page.
 

 

Enter the name of the page to start browsing from.