A knowledge elicitation study to inform the development of a consequence model for Arctic ship evacuations: Qualitative and quantitative data

Expert knowledge was elicited to develop a life-safety consequence severity model for Arctic ship evacuations (Browne et al., 2021). This paper presents the associated experimental design and data. Through semi-structured interviews, participants identified factors that influence consequence severit...

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Autores principales:	Thomas Browne, Brian Veitch, Rocky Taylor, Jennifer Smith, Doug Smith, Faisal Khan
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Arctic shipping Expert knowledge Life-safety Consequence modelling Mixed methods design Semi-structured interviews Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390
Acceso en línea:	https://doaj.org/article/d9d2bd0987ad474bb35f983f1279285b
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spelling	oai:doaj.org-article:d9d2bd0987ad474bb35f983f1279285b2021-11-28T04:33:21ZA knowledge elicitation study to inform the development of a consequence model for Arctic ship evacuations: Qualitative and quantitative data2352-340910.1016/j.dib.2021.107612https://doaj.org/article/d9d2bd0987ad474bb35f983f1279285b2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352340921008878https://doaj.org/toc/2352-3409Expert knowledge was elicited to develop a life-safety consequence severity model for Arctic ship evacuations (Browne et al., 2021). This paper presents the associated experimental design and data. Through semi-structured interviews, participants identified factors that influence consequence severity. Through a survey, participants evaluated consequence severity of different ship evacuation scenarios. The methodology represents a two-phased mixed methods design. Life-safety consequence severity is measured as the expected number of fatalities resulting from an evacuation. Participants of the study were experts in various fields of the Arctic maritime industry. Sixteen experts participated in the interviews and the survey (sample size: n = 16). Sample size for the interviews was based on thematic data saturation. Predominantly the same group of experts participated in the survey. Interviews were analysed using thematic analysis. Interview data informed the development of evacuation scenarios defined in the survey. The interview guide and survey questions are presented. Data tables present the codes that emerged through thematic analysis, including code reference counts and code intersection counts. Data tables present the raw data of participant responses to the survey. This data can support further investigation of factors that influence consequence severity, definition of a broader range of evacuation scenarios, and establishment of associated consequence severities. This data has value to Arctic maritime policy-makers, researchers, and other stakeholders engaged in maritime operational risk management.Thomas BrowneBrian VeitchRocky TaylorJennifer SmithDoug SmithFaisal KhanElsevierarticleArctic shippingExpert knowledgeLife-safetyConsequence modellingMixed methods designSemi-structured interviewsComputer applications to medicine. Medical informaticsR858-859.7Science (General)Q1-390ENData in Brief, Vol 39, Iss , Pp 107612- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Arctic shipping Expert knowledge Life-safety Consequence modelling Mixed methods design Semi-structured interviews Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390
spellingShingle	Arctic shipping Expert knowledge Life-safety Consequence modelling Mixed methods design Semi-structured interviews Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390 Thomas Browne Brian Veitch Rocky Taylor Jennifer Smith Doug Smith Faisal Khan A knowledge elicitation study to inform the development of a consequence model for Arctic ship evacuations: Qualitative and quantitative data
description	Expert knowledge was elicited to develop a life-safety consequence severity model for Arctic ship evacuations (Browne et al., 2021). This paper presents the associated experimental design and data. Through semi-structured interviews, participants identified factors that influence consequence severity. Through a survey, participants evaluated consequence severity of different ship evacuation scenarios. The methodology represents a two-phased mixed methods design. Life-safety consequence severity is measured as the expected number of fatalities resulting from an evacuation. Participants of the study were experts in various fields of the Arctic maritime industry. Sixteen experts participated in the interviews and the survey (sample size: n = 16). Sample size for the interviews was based on thematic data saturation. Predominantly the same group of experts participated in the survey. Interviews were analysed using thematic analysis. Interview data informed the development of evacuation scenarios defined in the survey. The interview guide and survey questions are presented. Data tables present the codes that emerged through thematic analysis, including code reference counts and code intersection counts. Data tables present the raw data of participant responses to the survey. This data can support further investigation of factors that influence consequence severity, definition of a broader range of evacuation scenarios, and establishment of associated consequence severities. This data has value to Arctic maritime policy-makers, researchers, and other stakeholders engaged in maritime operational risk management.
format	article
author	Thomas Browne Brian Veitch Rocky Taylor Jennifer Smith Doug Smith Faisal Khan
author_facet	Thomas Browne Brian Veitch Rocky Taylor Jennifer Smith Doug Smith Faisal Khan
author_sort	Thomas Browne
title	A knowledge elicitation study to inform the development of a consequence model for Arctic ship evacuations: Qualitative and quantitative data
title_short	A knowledge elicitation study to inform the development of a consequence model for Arctic ship evacuations: Qualitative and quantitative data
title_full	A knowledge elicitation study to inform the development of a consequence model for Arctic ship evacuations: Qualitative and quantitative data
title_fullStr	A knowledge elicitation study to inform the development of a consequence model for Arctic ship evacuations: Qualitative and quantitative data
title_full_unstemmed	A knowledge elicitation study to inform the development of a consequence model for Arctic ship evacuations: Qualitative and quantitative data
title_sort	knowledge elicitation study to inform the development of a consequence model for arctic ship evacuations: qualitative and quantitative data
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/d9d2bd0987ad474bb35f983f1279285b
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A knowledge elicitation study to inform the development of a consequence model for Arctic ship evacuations: Qualitative and quantitative data

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