Noort, Mark C.
(Leiden University, Law School, the Netherland)
,
Reader, Tom W.
(London School of Economics and Political Science, United Kingdom)
,
Gillespie, Alex
(London School of Economics and Political Science, United Kingdom)
Cockpit Voice Recorder (CVR) transcripts capture audio data within cockpit environments. This aids the investigation of causal factors contributing to aviation accidents by revealing communication and other sounds prior to aviation accidents. This dataset contains 172 unique CVR transcripts (with 21...
Cockpit Voice Recorder (CVR) transcripts capture audio data within cockpit environments. This aids the investigation of causal factors contributing to aviation accidents by revealing communication and other sounds prior to aviation accidents. This dataset contains 172 unique CVR transcripts (with 21,626 lines of transcript: averaging: 106.001 conversational turns; SD = 51.727, range: 1-641), and capturing approximately 15% of historic aviation fatalities in commercial and corporate aviation between 1962 and 2018. CVR transcripts involved airlines registered across 42 countries, with accidents occurring across 50 countries. The dataset was compiled by extracting CVR transcripts from three primary data sources and excluding duplicate and non-English entries. The data contains variables describing the (i) raw data, (ii) content and characteristics of the CVR transcripts, and (iii) behaviours coded by research assistants in support of the associated research article. The data existed of conversational turns amongst flight crew (total = 19,393; within transcripts: m = 112.750; SD = 124.829) and other data (n = 2213; within transcripts: m = 12.866; SD = 14.452; e.g., background sounds, transcriber notes). Conversational turns were uttered by junior (39.00%) and senior (35.44%) flight crew, and others (25.56%). The dataset enables future research through providing the first integrated dataset on communication behaviours prior to historic aviation accidents. Moreover, the dataset may support safety management through enabling the identification of communication behaviours contributing to accidents and the design of novel interventions. This data-in-brief is a co-submission associated with the research article: M. C. Noort, T.W. Reader, A. Gillespie. (2021). Safety voice and safety listening during aviation accidents: Cockpit voice recordings reveal that speaking-up to power is not enough. Safety Science.
Cockpit Voice Recorder (CVR) transcripts capture audio data within cockpit environments. This aids the investigation of causal factors contributing to aviation accidents by revealing communication and other sounds prior to aviation accidents. This dataset contains 172 unique CVR transcripts (with 21,626 lines of transcript: averaging: 106.001 conversational turns; SD = 51.727, range: 1-641), and capturing approximately 15% of historic aviation fatalities in commercial and corporate aviation between 1962 and 2018. CVR transcripts involved airlines registered across 42 countries, with accidents occurring across 50 countries. The dataset was compiled by extracting CVR transcripts from three primary data sources and excluding duplicate and non-English entries. The data contains variables describing the (i) raw data, (ii) content and characteristics of the CVR transcripts, and (iii) behaviours coded by research assistants in support of the associated research article. The data existed of conversational turns amongst flight crew (total = 19,393; within transcripts: m = 112.750; SD = 124.829) and other data (n = 2213; within transcripts: m = 12.866; SD = 14.452; e.g., background sounds, transcriber notes). Conversational turns were uttered by junior (39.00%) and senior (35.44%) flight crew, and others (25.56%). The dataset enables future research through providing the first integrated dataset on communication behaviours prior to historic aviation accidents. Moreover, the dataset may support safety management through enabling the identification of communication behaviours contributing to accidents and the design of novel interventions. This data-in-brief is a co-submission associated with the research article: M. C. Noort, T.W. Reader, A. Gillespie. (2021). Safety voice and safety listening during aviation accidents: Cockpit voice recordings reveal that speaking-up to power is not enough. Safety Science.
1 Noort M.C. Reader T.W. Gillespie A. Safety voice and safety listening during aviation accidents: cockpit voice recordings reveal that speaking-up to power is not enough Safety Sci. 139 2021 105260 10.1016/j.ssci.2021.105260
2 Noort M.C. Reader T.W. Gillespie A. Speaking up to prevent harm: a systematic review of the safety voice literature Safety Sci. 117 2019 375 387 10.1016/j.ssci.2019.04.039
3 Sassen C. Linguistic Dimensions of Crisis Talk 2005 John Benjamins Publishing Company Amsterdam
4 Foushee H.C. Manos K.L. Information transfer within the cockpit: problems in intracockpit communications (NASA TP-1875) 1981 NASA-Ames Research Center Moffett Field, CA
5 Kanki B. Anca J. Chidester T. Crew Resource Management 3rd ed. 2019 Elsevier Inc London
6 King H.B. TeamSTEPPS: team strategies and tools to enhance performance and patient safety Henriksen K. Battles J. Keyes M. Grady M. Advances in Patient Safety: New Directions and Alternative Approaches (Vol. 3: Performance and Tools) 2008 Agency for Healthcare Research and Quality (US) Rockville, MD
7 Noort M.C. Reader T.W. Gillespie A. The sounds of safety silence: interventions and temporal patterns unmute unique safety voice content in speech Safety science 140 2021 105289 10.1016/j.ssci.2021.105289
AI-Helper
※ AI-Helper는 부적절한 답변을 할 수 있습니다.