A case study investigation of industry templates and information quality methodologies for the definition and assessment of asset information requirements

Rogage, Kay and Watson, Richard (2018) A case study investigation of industry templates and information quality methodologies for the definition and assessment of asset information requirements. In: EduBIM2018: Teaching Days on Digital Mock-up and BIM in France - 4th edition, 15-16 May 2018, Claremont-Ferrand, France.

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Abstract

An empirical case study of a social housing organisation’s adoption of a BIM approach to capturing asset information requirements for the operation and maintenance of built assets is presented. Existing standards and tools are examined and their relevance in a real world context explored. Product templates provided within guidelines such as the NBS BIM Toolkit, BIM Forum LOD and COBie offer guidance on which asset properties should be captured and transferred during the handover phase of building. This study demonstrates that existing product templates lack detail for the custom requirements of clients that manage large asset portfolios. Existing guidelines also fail to provide techniques for assessing the quality of data that is handed over. The current literature fails to address how the quality of information and data can both be specified and validated to ensure that the data received within a BIM meets the needs of the O&M phases of the business. Management Information Sciences research offer methodologies for measuring Information Quality. The contribution to knowledge is an approach which combines MIS research for IQ assessment with BIM methodologies to provide a new approach to developing AIRs.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: BIM, Asset Maintenance, Facilities Management, Information Quality, Information Requirements
Subjects: G500 Information Systems
K900 Others in Architecture, Building and Planning
Department: Faculties > Engineering and Environment > Architecture and Built Environment
Faculties > Engineering and Environment > Computer and Information Sciences
Related URLs:
Depositing User: Kay Rogage
Date Deposited: 06 Jul 2018 08:41
Last Modified: 11 Dec 2018 11:16
URI: http://nrl.northumbria.ac.uk/id/eprint/34767

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