Code related to "The experiences of those who support researchers struggling with their mental health" report
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Authors
Loissel, Elsa
Tsang, Emmy
Deathridge, Julia
Pérez Valle, Helena
Yehudi, Yo
Publication Date
2020-11-12Type
Dataset
Metadata
Show full item recordCitation
Cheke, L., Loissel, E., Tsang, E., Müller, S. R., Deathridge, J., Pérez Valle, H., & Yehudi, Y. (2020). Code related to "The experiences of those who support researchers struggling with their mental health" report [Dataset]. https://doi.org/10.17863/CAM.59837
Description
This code relates to a survey conducted to gather the experiences of those who provide support to researchers who struggle with their mental health. This project was done in collaboration with the open life sciences journal eLife.
The survey was created in collaboration with and reviewed by academics and university officials before being released. It received ethical approval from the University of Cambridge Psychology department (2018-19/35), and was created on the Survey Monkey platform. It was open between the 23rd October 2019 and 05th January 2020, but only actively advertised until early December 2019.
Recruitment took place through eLife’s social media channels (Twitter, Facebook, LinkedIn); eLife’s newsletters to authors and early career community (voluntary subscriptions); directly emailing corresponding authors who have published with eLife; and by contacting groups of interest and institutions that may be willing to share the survey amongst their networks (e.g. New PI Slack, Mid Career PI Slack, Women in Academia Support Network, SMaRteN, Graduate and Postdoc unions in the US and the UK). Certain tweets advertising the survey were boosted (paid promotion) to reach an academic audience, in particular early-career researchers.
Format
Software used: R (see README file for precise instructions on the packages needed to run the code)
Keywords
Mental Health, Academia, Equality, Diversity, Inclusion, Survey
Relationships
Related Item: https://doi.org/10.17863/CAM.59836
Publication Reference: https://doi.org/10.17863/CAM.60247
Identifiers
This record's DOI: https://doi.org/10.17863/CAM.59837
Statistics
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IRUS guide.
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