Fitz, D V and Saleeb, N (2019) Examining the quality and management of non-geometric building information modelling data at project hand-over. Architectural Engineering and Design Management, 15(4), pp. 297-310. ISSN 1745-2007
Abstract
Through the exponential global increase of Building Information Modelling (BIM) adoption across the Construction industry, and the emergence of inter-connected, strategic and data-rich solutions; such as Big Data, the Internet of Things and Smart Cities, the importance associated with activities and decisions reliant on exact data input, transaction, analysis, and resulting actions becomes exponentially magnified. The supply of inaccurate BIM data may negatively impact on systems and processes that require fully assured data of appropriate quality/veracity, to support informed decision making, deliver functionality, facilitate services, or direct strategic actions within the built environment. This preliminary research intends to provide a catalyst for discussion, analysis and information retrieval relating to Building Information Modelling (BIM) processes where non-geometric data errors may; or are predicted to occur within a project environment. This may result in the delivery of data that cannot be described as representing truth or of good quality, and therefore of little value or use to the data user. The broader aspects of this research investigates specifically non-geometric data veracity & associated dimensions of data quality; in order to discover and explore future solutions to resolve current industry data quality assessment challenges. This paper provides feedback from the research focusing on the current state, presenting existing industry challenges and proposes further research areas based on initial findings.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | BIM; building information modelling; construction; data management; data quality |
| Index terms: | data management, smart city, big data, quality assessment, functionality, building information modelling, internet, construction industry, dimension, information retrieval, emergence, decision-making, built environment |
| Subjects: | data management, decision analysis, infrastructure and transport systems, industry analysis, information systems, quality assurance, systems engineering, computing systems, urban sustainability, design features, health monitoring assessment and metrics |
| Topics: | Urban Studies, Digital Applications, Design Practice, Quality Management, Health and Safety, Engineering Principles, Research Practice, Risk Management |
| Descriptive scope: | 3 PCT |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here