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Supporting data for “Semantic Knowledge Modeling for Facilities Asset Management - Knowledge Graph Development based on Space, Time and People"

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DataCite Commons2023-07-20 更新2025-04-16 收录
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https://datahub.hku.hk/articles/dataset/Supporting_data_for_Semantic_Knowledge_Modeling_for_Facilities_Asset_Management_-_Knowledge_Graph_Development_based_on_Space_Time_and_People_/23633298
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This research study aimed to investigate the perspectives of industrial practitioners in the field of Facilities Management and Asset Management regarding Building Facilities Asset Management (FAM). The research employed a semi-opened interview approach to gather valuable insights and experiences from the participants. In total, interviews were conducted with a diverse group of participants, including those who agreed to audio recording and those who preferred notes-based records. <br> For the interviewees who consented to audio recording, a total of three audio record files were collected. These audio records capture the rich dialogue and detailed responses of the participants, providing a comprehensive understanding of their perspectives on FAM, organizational management strategies, challenges faced, and knowledge application. <br> For the interviewees who preferred not to be recorded, detailed notes were taken during the interviews. These notes capture the main points, key insights, and important observations discussed during the interviews. A total of seven PDF record files containing these notes were created, ensuring the confidentiality and anonymity of the participants' responses. <br> <br>

本研究旨在探究设施管理(Facilities Management)与资产管理(Asset Management)领域的行业从业者对建筑设施资产管理(Building Facilities Asset Management, FAM)的视角。研究采用半开放式访谈法,收集参与者宝贵的见解与经验。共对多元化的参与者群体进行了访谈,包括同意录音的参与者以及偏好基于笔记记录方式的参与者。<br>对于同意录音的受访者,共收集到3份音频记录文件。这些音频记录捕捉了参与者丰富的对话内容与详细回应,为全面理解其关于FAM的视角、组织管理策略、面临的挑战及知识应用提供了依据。<br>对于偏好不录音的受访者,访谈期间进行了详细的笔记记录。这些笔记涵盖了访谈中讨论的要点、关键见解及重要观察。共生成7份包含此类笔记的PDF记录文件,以确保参与者回应的保密性与匿名性。<br><br>
提供机构:
HKU Data Repository
创建时间:
2023-07-06
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