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Building a framework for improving data quality in engineering asset management

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.

Identiferoai:union.ndltd.org:ADTP/202051
Date January 2008
CreatorsLin, Chih Shien
Source SetsAustraliasian Digital Theses Program
LanguageEN-AUS
Detected LanguageEnglish
RightsCopyright Chih Shien Lin 2008

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