Reproducibility of COVID-19 pre-prints

Annie Collins and Rohan Alexander ()
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Annie Collins: University of Toronto
Rohan Alexander: University of Toronto

Scientometrics, 2022, vol. 127, issue 8, No 17, 4655-4673

Abstract: Abstract To examine the reproducibility of COVID-19 research, we create a dataset of pre-prints posted to arXiv, bioRxiv, and medRxiv between 28 January 2020 and 30 June 2021 that are related to COVID-19. We extract the text from these pre-prints and parse them looking for keyword markers signaling the availability of the data and code underpinning the pre-print. For the pre-prints that are in our sample, we are unable to find markers of either open data or open code for 75% of those on arXiv, 67% of those on bioRxiv, and 79% of those on medRxiv.

Keywords: COVID-19; Reproducibility; Open science (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11192-022-04418-2

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