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.
| Identifer | oai:union.ndltd.org:ADTP/202051 |
| Date | January 2008 |
| Creators | Lin, Chih Shien |
| Source Sets | Australiasian Digital Theses Program |
| Language | EN-AUS |
| Detected Language | English |
| Rights | Copyright Chih Shien Lin 2008 |
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