Data in Brief (Dec 2021)
Cockpit voice recorder transcript data: Capturing safety voice and safety listening during historic aviation accidents
Abstract
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.
