Comprehensive maintenance dataset of building facilities for planned preventive and unplanned maintenance in North American universities

Historical building maintenance data were collected from twelve universities in the United States (U.S.) and Canada, spanning from the year 2002 to 2021, with a particular focus on Planned Preventive Maintenance (PPM) and Unplanned Maintenance (UPM). The collected data underwent preprocessing and organization based on the Facility Management Unified Classification Code (FMUCO), Fig. 1 which was developed to classify heterogeneous building maintenance data. The resulting dataset comprises nine attribute groups (university, building, system, subsystem, component, work order, work order cost, work order labor, and weather) and their corresponding data attributes. The dataset aims to (1) provide insights into the current status of building management for campus-sized institutions and (2) facilitate data-driven analyses of facility management.

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Publication Details

Journal
Data in Brief
Published
2024-08-23
DOI
https://doi.org/10.1016/j.dib.2024.110845
Citations
3
Primary Topic
Facilities and Workplace Management
Type
article
Field-Weighted Citation Impact
1.93
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article

Comprehensive maintenance dataset of building facilities for planned preventive and unplanned maintenance in North American universities

Soojin Yoon, Theodore J. Weidner, Ashish Kumar Pampana, JungHo Jeon
3 citations
Data in Brief
Facilities and Workplace Management
1.93
article

Comprehensive maintenance dataset of building facilities for planned preventive and unplanned maintenance in North American universities

Soojin Yoon, Theodore J. Weidner, Ashish Kumar Pampana, JungHo Jeon
article en
3 citations

Abstract

Historical building maintenance data were collected from twelve universities in the United States (U.S.) and Canada, spanning from the year 2002 to 2021, with a particular focus on Planned Preventive Maintenance (PPM) and Unplanned Maintenance (UPM). The collected data underwent preprocessing and organization based on the Facility Management Unified Classification Code (FMUCO), Fig. 1 which was developed to classify heterogeneous building maintenance data. The resulting dataset comprises nine attribute groups (university, building, system, subsystem, component, work order, work order cost, work order labor, and weather) and their corresponding data attributes. The dataset aims to (1) provide insights into the current status of building management for campus-sized institutions and (2) facilitate data-driven analyses of facility management.

Data in BriefVol. 57
Oklahoma State University (US), Purdue University West Lafayette (US), Pusan National University (KR)
Openalex Percentile: Top 14%
Facilities and Workplace Management
1.93
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