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.
Authors
- Soojin Yoon (ORCID: https://orcid.org/0000-0001-7832-6834)
- Theodore J. Weidner (ORCID: https://orcid.org/0000-0002-8709-944X)
- Ashish Kumar Pampana (ORCID: https://orcid.org/0000-0002-4057-2156)
- JungHo Jeon (ORCID: https://orcid.org/0000-0001-6816-0092)
Institutions
- Oklahoma State University (US)
- Purdue University West Lafayette (US)
- Pusan National University (KR)
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