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Erschienen in:
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2012 | OriginalPaper | Buchkapitel

Managing Metadata Towards Enhanced Data Quality in Asset Management

verfasst von : Lubos Vnuk, Andy Koronios, Jing Gao

Erschienen in: Engineering Asset Management and Infrastructure Sustainability

Verlag: Springer London

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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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Metadaten
Titel
Managing Metadata Towards Enhanced Data Quality in Asset Management
verfasst von
Lubos Vnuk
Andy Koronios
Jing Gao
Copyright-Jahr
2012
Verlag
Springer London
Buch
Engineering Asset Management and Infrastructure Sustainability

Print ISBN: 978-0-85729-301-5

Electronic ISBN: 978-0-85729-493-7

Copyright-Jahr: 2012

DOI
https://doi.org/10.1007/978-0-85729-493-7_76