Building a framework for improving data quality in engineering asset management
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(Published version)
Date
2008
Authors
Lin, Chih Shien
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thesis
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Abstract
Asset managers recognise that high-quality engineering data is the key enabler in gaining control of engineering assets. Although they consider accurate, timely and relevant data as critical to the quality of their asset management (AM) decisions, evidence of large variations in data quality (DQ) associated with AM abounds. Therefore, the question arises as to what factors influence DQ in engineering AM. Accordingly, the main goal of this research is to investigate DQ issues associated with AM, and to develop an AM specific DQ framework of factors affecting DQ in AM. The framework is aimed at providing structured guidance for AM organisations to understand, identify and mitigate their DQ problems in a systematic way, and help them create an information orientation to achieve a greater AM performance.
School/Discipline
University of South Australia School of Computer and Information Science
School of Computer and Information Science
School of Computer and Information Science
Dissertation Note
PhD Doctorate
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Copyright Chih Shien Lin 2008
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EN-AUS
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506 0#$fstar $2Unrestricted online access