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Building a framework for improving data quality in engineering asset management

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dc.contributor.authorLin, Chih Shien
dc.contributor.schoolUniversity of South Australia School of Computer and Information Science
dc.contributor.schoolSchool of Computer and Information Science
dc.date.issued2008
dc.descriptionEN-AUS
dc.description.abstractAsset 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.
dc.description.dissertationPhD Doctorate
dc.identifier.urihttps://hdl.handle.net/1959.8/47051
dc.language.isoen
dc.provenanceCopyright Chih Shien Lin 2008
dc.subjectManagement information systems;Data quality;Quality control
dc.titleBuilding a framework for improving data quality in engineering asset management
dc.typethesis
dcterms.accessRights506 0#$fstar $2Unrestricted online access
ror.fileinfo12146595850001831 13146590780001831 9915951961001831_53111870820001831.pdf
ror.mmsid9915951961001831

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