Managing metadata towards enhanced data quality in asset management
Date
2011
Authors
Vnuk, L.
Koronios, A.
Gao, J.
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Conference paper
Citation
Engineering asset management and infrastructure sustainability : proceedings of the 5th world congress on engineering asset management, 2011, pp.981-994
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5th World Congress on Engineering Asset Management (WCEAM) (25 Oct 2010 - 27 Oct 2010 : Brisbane, Queensland)
Abstract
In engineering asset management (AM) organisations, a variety of data types ranging from asset monitoring data to asset documentation needs to be constantly managed to ensure optimal performance of the underlying infrastructure and engineering assets. The same data are often perceived just as another kind of asset-an information asset. To support the management of information assets, organisations utilise metadata. Popularly defined as data about data, metadata help discover, access, share and maintain information assets. Little research has been conducted on the value that metadata management can add in AM. In this paper, a particular model centred on data quality is proposed. The model suggests that an efficient and effective managed metadata environment is instrumental in enhancing data and metadata quality to allow for timely and well-informed decision-making, data reuse, change management as well as better interoperability across systems and teams. The paper introduces multiple metadata perspectives that AM organisations could apply to facilitate metadata management, and discusses metadata management frameworks.
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Copyright 2011 Springer-Verlag