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A Generic Framework for Information Quality in knowledge-intensive Processes
Type
conference paper
Date Issued
2001-11-02
Author(s)
Editor(s)
Pierce, Elizabeth M.
Katz-Haas, Raissa
Abstract
Based on an evaluation of existing information quality frameworks, action research with seven partner companies, and empirical surveys among practitioners, this paper proposes an information quality framework that overcomes some of the analyzed deficits of current approaches. The proposed framework is especially apt for the context of knowledge-intensive processes, such as market research, product development or consulting. It consists of four quality levels, namely community or relevance criteria, product or soundness criteria, process criteria, and infrastructure criteria. A main element of the framework are information quality principles which indicate how the criteria contained in the four levels of the framework can be improved. The paper outlines the basic elements of the framework and indicates how it can be applied in various knowledge-intensive processes. Two short case studies are provided, one from a market research company, and one from a book abstraction service. The paper concludes by pointing out future research needs in the domain of information quality frameworks, such as finding measurable and instructive quality indicators on all four levels.
Language
English
HSG Classification
not classified
Refereed
Yes
Book title
Proceedings of the MIT Information Quality 2001 Conference
Start page
1
Event Title
6th International Conference on Information Quality (ICIQ)
Event Location
Cambridge, MA
Event Date
02.-04.11.2001
Subject(s)
Division(s)
Eprints ID
54874