With increasing frequency in the use of BIM for facility handover, organizations have to address the quality of information. Previous studies have shown the substantial impact inadequate interoperability of information has on facility operations. Since 2009, the Pennsylvania State University (PSU) has implemented Building Information Modeling (BIM) on all new projects over $5 million and major facility renovations. The BIM criterion was developed by determining facility geometry and data level of detail required to perform typical operations tasks. The success of operations also depends on the completeness and accuracy of the information received. Therefore, PSU has developed a standard process to audit model information during the lifecycle of the facility project. This paper will discuss the procedure developed by PSU to plan the validity and reliability of the model geometry and information. This includes an overview of risk forecasting and analysis procedures created as a rule set for data review, as well as highlight quality grading scales used for model acceptance. Additionally, one case study will be reviewed, depicting the developed quality control standards for both a new construction project and a major renovation. The Pennsylvania State University has ten projects implementing BIM that will be delivered over the next two years and the quality of the information received is essential to the success of operations and maintenance of these facilities.
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