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ITM Data Exchange: New Frontier of Standardization to Support Reliability Analyses
In recent years, there has been interest in using inspection, testing, and maintenance (ITM) activity data to inform decisions related to system reliability, risk acceptability, and ITM frequencies. These data are being captured in thousands of different formats, through hundreds of different approaches, and by thousands of different groups, but one key element has been lacking to date - standardization. This void has restricted the ability to determine sound performance-based inspection frequencies and prevents stakeholders from exchanging and analyzing data that can influence safety and efficiencies. To address this need, a novel approach to standardizing ITM data using concepts of linked data and graph-modeling is being pilot tested through this ongoing Research Foundation project. This webinar will present a proof-of-concept comprehensive, scalable, and extensible ITM data exchange model that can facilitate data sharing from diverse data sources to support reliability analyses and predictive analytics. Guided by the concepts of fair data principles, this case study will demonstrate how graph-modeling and other cutting-edge techniques are being leveraged to collect and consolidate data to enable further analysis, reporting, and sharing of ITM data for the needs of various stakeholder groups.

Bart van Leeuwen, Netage BV

Fire Protection Research Foundation 2021 Webinar Series Sponsors:
APA – The Engineered Wood Association
AXA XL Risk Consulting
Johnson Controls
Reliable Automatic Sprinkler Co., Inc.
Telgian Engineering and Consulting
The Zurich Services Corporation

Jun 29, 2021 12:30 PM in Eastern Time (US and Canada)

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