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Data and Information Quality Research in Engineering Construction Projects: A Review of Literature

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Book cover Building Sustainable Information Systems

Abstract

This article presents a review of the research on Data and Information Quality (DQ/IQ) assessment in engineering construction. Through a review of 445 articles on the topic, only nine were found in the context of engineering construction. The analysis of these nine articles revealed six challenges in performing DQ/IQ assessment in this context: the iterative nature of concurrent engineering, the uniqueness of engineering data, lack of integration between processes, lack of integration between systems, lack of timely information, and lack of relevant DQ/IQ assessment frameworks and tools. The specific contributions of this paper are the identification of DQ/IQ challenges in engineering construction, their consequences, and implications for the development of relevant DQ/IQ assessment frameworks and tools. Additionally, it also identifies an area where Information Systems research can contribute, thereby extending the reach of the discipline.

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Author information

Authors and Affiliations

  1. University of Agder, 422, Kristiansand, 4604, Norway

    Soffi Westin

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  1. Soffi Westin
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Correspondence to Soffi Westin .

Editor information

Editors and Affiliations

  1. Monash University, Caaulfield East, Victoria, Australia

    Henry Linger

  2. Monash University, Caulfield East, Victoria, Australia

    Julie Fisher

  3. Box Hill Institute, Box Hill, Victoria, Australia

    Andrew Barnden

  4. National University of Ireland, Galway, Ireland

    Chris Barry

  5. National University of Ireland, Galway, Ireland

    Michael Lang

  6. City University of Hong Kong, Kowloon, Hong Kong SAR

    Christoph Schneider

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Westin, S. (2013). Data and Information Quality Research in Engineering Construction Projects: A Review of Literature. In: Linger, H., Fisher, J., Barnden, A., Barry, C., Lang, M., Schneider, C. (eds) Building Sustainable Information Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-7540-8_45

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  • DOI: https://doi.org/10.1007/978-1-4614-7540-8_45

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  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4614-7539-2

  • Online ISBN: 978-1-4614-7540-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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