A data quality framework for engineering asset management

Data Quality (DQ) is a critical issue for effective engineering asset management (AM). DQ problems can result in severe negative consequences for an organisation. Several research studies have indicated that most organisations have DQ problems. This research aims to explore DQ issues associated with asset management in engineering organisations. The study first develops an AM specific DQ framework, and then tests it in a preliminary case study of two large Australian engineering organisations. The empirical findings of the DQ issues from the research are used to validate the proposed AM DQ framework. This study provides a better understanding of DQ issues for engineering asset management. This in turn will assist in providing useful advice for improving DQ in this area, leading to activities which will help ensure DQ. The research suggests that the importance of DQ issues for engineering asset management is often overlooked; thus, there is a need for more scrutinised studies in order to raise general awareness.