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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...

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Autores principales: Osorio-Sandoval, Carlos A., Crick, Gordon, Collinge, William H., Farghaly, Karim, Mosleh, Mojgan Hadi, Manu, Patrick, Cheung, Clara Man
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
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.
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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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