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The Design and Emergence of a Data/Information Quality System
University of Agder.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
2015 (English)In: Scandinavian Journal of Information Systems, ISSN 0905-0167, E-ISSN 1901-0990, Vol. 27, no 1, 3-26 p.Article in journal (Refereed) Published
Abstract [en]

Poor data and information quality (DQ/IQ) has remained a consistent problem plaguing both the practitioner and academic communities in Information Systems (IS). The consequences of poor DQ/IQ is particularly severe in Construction Engineering, and the field lacks sufficient DQ/IQ assessment frameworks and tools. To address this shortcoming, we applied an action design research (ADR) approach to develop and implement a DQ/IQ assessment tool called Information Quality System (IQS). The multi-year research project took place in a European construction engineering company, and lasted from 2007 to 2012. We drew upon insights from the literature on DQ/IQ assessment and related challenges in construction engineering, as well as practical lessons learned from managing DQ/IQ in the target organization. Through our research, we develop a set of design principles for meeting DQ/IQ challenges.

Place, publisher, year, edition, pages
2015. Vol. 27, no 1, 3-26 p.
Research subject
Information systems
URN: urn:nbn:se:ltu:diva-5668Local ID: 3d4c1d41-c0e3-4869-8b98-c79a9d649424OAI: diva2:978542
Validerad; 2015; Nivå 2; 20150828 (mausei)Available from: 2016-09-29 Created: 2016-09-29Bibliographically approved

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