Abstract
Engineering asset lifecycle management is information intensive. The variety of asset lifecycle processes generate, process, and analyze enormous amount of data on daily basis. Information systems utilized for asset management not only have to provide for the control of lifecycle management tasks, but also have to act as instruments for decision support. Asset lifecycle management can be viewed as a combination of decisions associated with strategic, planning, and operational levels of the organization. Information systems in asset management, in theory, thus facilitate data-enabled view of asset management. However, realization of such a view of asset lifecycle through information systems requires appropriate hardware and software applications; quality, standardized, and interoperable data; appropriate skill set of employees to process data; and the strategic fit between the asset lifecycle management processes data requirements and the information systems. This paper sketches out a framework for asset lifecycle management data governance, which highlights the rights and accountabilities related to asset data lifecycle management. The framework describes how common business data and metrics should be defined, propagated, owned, and enforced throughout the organization, thereby allowing for better quality and faster decision-making, business intelligence reporting, cost reductions, compliance, and better controls of business processes.
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References
Haider A, Koronios A (2005) ICT Based Asset Management Framework. In: Proceedings of 8th international conference on enterprise information systems, ICEIS, Paphos, Cyprus. vol 3, pp 312–322
Haider A (2013) Information systems for engineering and infrastructure asset management. Springer, Wiesbaden, Germany
Fernandes L, O’Connor M (2009) Data governance and data stewardship. Critical issues in the move toward EHRs and HIE. J Am Health Info Manage Assoc 80(5):36–39
Ariyachandra T, Fuller C, Watson H (2004) Data warehouse governance: best practices at blue cross and blue shield of North Carolina. Decis Supp Syst 38(3):435
Betz CT (2007) Architecture and patterns for IT service management, resource planning, and governance. Morgan Kaufmann Publishers, San Francisco, USA
Friedman T, Logan D, Newman D (2008) Governance in an essential building block for enterprise information management. Gartner Research, USA
Waddington D (2010) Data governance, MDM and data quality. DM Direct 20(5):14
Ross J, Weill P (2005) A matrixed approach to designing IT governance. MIT Sloan Manage Rev 46(2):26–34
Mosley M, Brackett M, Earley S, Henderson D (2009) The DAMA guide to data management body of knowledge (DAMA-DMBOK guide). Technics publications, USA
Acknowledgments
This paper was developed within the CRC for Infrastructure and Engineering Asset Management, established and supported under the Australian Government’s Cooperative Research Centers Programme. The author gratefully acknowledges the financial support provided by the CRC.
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Haider, A. (2015). Asset Lifecycle Data Governance Framework. In: Lee, W., Choi, B., Ma, L., Mathew, J. (eds) Proceedings of the 7th World Congress on Engineering Asset Management (WCEAM 2012). Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-06966-1_27
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DOI: https://doi.org/10.1007/978-3-319-06966-1_27
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