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Dataset of characterised construction safety risks and related treatments
The Safety Risk Library [1] is a structured database [2] that integrates knowledge drawn from multiple sources to address the problem of information disaggregation in the construction industry. This knowledge base maps construction safety risk scenarios to treatment suggestions that help designers i...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10294101/ https://www.ncbi.nlm.nih.gov/pubmed/37383752 http://dx.doi.org/10.1016/j.dib.2023.109293 |
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author | Osorio-Sandoval, Carlos A. Crick, Gordon Collinge, William H. Farghaly, Karim Mosleh, Mojgan Hadi Manu, Patrick Cheung, Clara Man |
author_facet | Osorio-Sandoval, Carlos A. Crick, Gordon Collinge, William H. Farghaly, Karim Mosleh, Mojgan Hadi Manu, Patrick Cheung, Clara Man |
author_sort | Osorio-Sandoval, Carlos A. |
collection | PubMed |
description | The Safety Risk Library [1] is a structured database [2] that integrates knowledge drawn from multiple sources to address the problem of information disaggregation in the construction industry. This knowledge base maps construction safety risk scenarios to treatment suggestions that help designers implement the concept of prevention through design. In the context of the Safety Risk Library, risk scenarios are characterised by six data categories based on a formalised ontology [3]. To build the first iteration of the Safety Risk Library, nine different risk scenarios were identified and mapped to relevant risk treatments in focus groups. Subsequently, the Safety Risk Library was pilot tested in six construction projects, and user feedback and input were used to expand the list of risk scenarios and treatment prompts. Additionally, public press releases reporting construction accidents were analysed to identify and characterise risk scenarios, which were then mapped to appropriate treatment suggestions and included in the Safety Risk Library. This dataset can assist construction industry stakeholders in identifying, characterising, communicating and mitigating safety risks in construction projects. It can also be integrated into building information modelling environments to assist designers to implement prevention through design. |
format | Online Article Text |
id | pubmed-10294101 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-102941012023-06-28 Dataset of characterised construction safety risks and related treatments Osorio-Sandoval, Carlos A. Crick, Gordon Collinge, William H. Farghaly, Karim Mosleh, Mojgan Hadi Manu, Patrick Cheung, Clara Man Data Brief Data Article The Safety Risk Library [1] is a structured database [2] that integrates knowledge drawn from multiple sources to address the problem of information disaggregation in the construction industry. This knowledge base maps construction safety risk scenarios to treatment suggestions that help designers implement the concept of prevention through design. In the context of the Safety Risk Library, risk scenarios are characterised by six data categories based on a formalised ontology [3]. To build the first iteration of the Safety Risk Library, nine different risk scenarios were identified and mapped to relevant risk treatments in focus groups. Subsequently, the Safety Risk Library was pilot tested in six construction projects, and user feedback and input were used to expand the list of risk scenarios and treatment prompts. Additionally, public press releases reporting construction accidents were analysed to identify and characterise risk scenarios, which were then mapped to appropriate treatment suggestions and included in the Safety Risk Library. This dataset can assist construction industry stakeholders in identifying, characterising, communicating and mitigating safety risks in construction projects. It can also be integrated into building information modelling environments to assist designers to implement prevention through design. Elsevier 2023-06-04 /pmc/articles/PMC10294101/ /pubmed/37383752 http://dx.doi.org/10.1016/j.dib.2023.109293 Text en © 2023 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Osorio-Sandoval, Carlos A. Crick, Gordon Collinge, William H. Farghaly, Karim Mosleh, Mojgan Hadi Manu, Patrick Cheung, Clara Man Dataset of characterised construction safety risks and related treatments |
title | Dataset of characterised construction safety risks and related treatments |
title_full | Dataset of characterised construction safety risks and related treatments |
title_fullStr | Dataset of characterised construction safety risks and related treatments |
title_full_unstemmed | Dataset of characterised construction safety risks and related treatments |
title_short | Dataset of characterised construction safety risks and related treatments |
title_sort | dataset of characterised construction safety risks and related treatments |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10294101/ https://www.ncbi.nlm.nih.gov/pubmed/37383752 http://dx.doi.org/10.1016/j.dib.2023.109293 |
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