Developing a data quality framework for asset management in engineering organisations
by Shien Lin, Jing Gao, Andy Koronios, Vivek Chanana
International Journal of Information Quality (IJIQ), Vol. 1, No. 1, 2007

Abstract: Data Quality (DQ) is seen as critical to effective business decision-making. However, maintaining DQ is often acknowledged as problematic. Asset data is the key enabler in gaining control of assets. The quality asset data provides the foundation for effective Asset Management (AM). Researches have indicated that achieving AM DQ is the key challenge engineering organisations face today. This paper investigates the DQ issues emerging from the unique nature of engineering AM data. It presents an exploratory research of a large scale national-wide DQ survey on how Australian engineering organisations address DQ issues, and proposes an AM specific DQ framework.

Online publication date: Mon, 23-Apr-2007

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