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Measuring information quality.

Stvilia, Besiki.

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Measuring information quality.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Measuring information quality./
作者:	Stvilia, Besiki.
面頁冊數:	286 p.
附註:	Adviser: Les Gasser.
Contained By:	Dissertation Abstracts International67-07A.
標題:	Business Administration, Management. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3223727
ISBN:	9780542776410

Measuring information quality.
Stvilia, Besiki.

Measuring information quality. - 286 p.

Adviser: Les Gasser.

Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006.

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 (DC) metadata records and encyclopedia articles.

ISBN: 9780542776410Subjects--Topical Terms:

626628
Business Administration, Management.

Measuring information quality.
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520 $a 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 (DC) metadata records and encyclopedia articles.
520 $a Information is increasingly the critical resource in contemporary societies and organizations. For institutional information processes the quality of information (IQ) is a key to the quality of decisions and actions. IQ also impacts information systems security, information security, and security in general: reducing IQ can disrupt decisions. Existing culturally sanctioned mechanisms of IQ assurance such as peer review and human oversight (inherently implicit quality-assurance techniques) are costly, don't scale to modern online settings, and are not automatible. This dissertation is part of a stream of work aiming to address these problems of IQ at their foundations.
520 $a The principal issues for understanding and mitigating IQ problems include our lack of systematic knowledge about IQ conceptualization, IQ measurement, aggregation of multi-level IQ values, IQ dynamics (principles of IQ change over time); and IQ interventions (intentional change to IQ at individual and aggregate levels). This dissertation focuses on the conceptualization, measurement, and aggregation issues and on the design and operationalization of an IQ measurement model. One cannot manage IQ without first being able to measure it meaningfully and establishing causal connections between sources of IQ change, IQ problem types, types of activities affected, and activity outcomes. This project develops a general IQ measurement and assessment framework comprising comprehensive typologies of IQ problems, related activities, a taxonomy of IQ dimensions and a set of general IQ metric functions 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.
520 $a The project contributes to the theory of IQ by developing a systematic and operational theory of IQ measurement in the form of the integrated IQ assessment framework. The project also contributes to our understanding of how IQ assurance work can to be organized effectively in open, collaborative content creation environments, as well as in other more conventional databases.
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