The Deficiencies of Current Data Quality Tools in the Realm of Engineering Asset Management

Data and information quality is a well-established research topic and gradually appears on the decision-makers' top concern lists. Many studies have been conducted on how to investigate the generic data/information quality issues and factors by providing a high-level abstract framework or model. Based on these previous studies, the researchers of this paper tried to discuss the actual data quality problems with the operation-level and middle-level managers in engineering asset management organizations. By identifying the unique data quality problems (fitness for use) in asset management and reviewing the existing data cleansing software tools against real engineering asset databases, the deficiencies of the existing data cleansing approach are highlighted.