5 th International/11 th Construction Specialty Conference 5 e International/11 e Conférence spécialisée sur la construction Vancouver, British Columbia June 8 to June 10, 2015 / 8 juin au 10 juin 2015 342-1 REVIEW OF BIM QUALITY ASSESSMENT APPROACHES FOR FACILITY MANAGEMENT Puyan A. Zadeh 1, 3 , Sheryl Staub-French 1 and Rachel Pottinger 2 1 Department of Civil Engineering, University of British Columbia, Canada 2 Department of Computer Science, University of British Columbia, Canada 3 p.zadeh@civil.ubc.ca Abstract: Assessing the quality of information in building information models (BIM) at the time of project handover is critical for owners. Lack of quality information in delivered BIMs can cause significant issues in using BIM for facility management purposes, potentially limiting or preventing their use in building operations. Our studies of numerous BIM projects and deliverables have found that most BIMs created for design and construction today contain significant quality issues including inaccurate, incomplete, or unnecessary information. To make these models useful for building operations requires significant adjustment to the models, which can be very time-consuming and costly. This paper describes different types of quality issues identified through numerous case studies of BIM projects and categorizes them according to different model perspectives (entity, model, and user level) and relevant facility management perspectives (assets, MEP systems, and spaces). We identify the different characteristics of each type of quality issue and then systematically analyze relevant literature in the AEC and computer science domains to put these issues in context. This analysis highlights the ambiguity in characterizing information quality issues in a BIM and demonstrates the need for a comprehensive and consistent formalization of BIM quality. 1 INTRODUCTION Assessing the information quality (IQ) of building information models (BIM) for facility management (FM) purposes is a critical and challenging task for owners at the time of project handover. Lack of IQ in delivered BIM could have costly consequences for owners, including: manual adjustments to correct and complete the models; laser-scanning of (a part of) the building and related post processing efforts; and delays in the start of FM systems. Currently, researchers and owner organizations have different perspectives about the IQ of BIM, which consequently lead to different approaches to its assessment. Although organizations like U.S. General Services Administration (GSA) and British Standards Institution (BSI) have developed approaches to enforce BIM requirements throughout the project handover (BSI 2014, GSA 2011), such approaches are mainly based on generic checks and do not cover all required IQ characteristics for FM needs. For proper BIM-IQ assessment, it is necessary for owners to have a clear understanding about “what” are the potential quality issues, “which” IQ characteristics are relevant, and “how” to assess them. The objective of this paper is to contribute to the development of a comprehensive and consistent representation of BIM quality for owners. Through numerous case studies of BIM projects and interviews with FM personnel, we describe different types of quality issues and categorize them according to