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Reproducibility of COVID-19 pre-prints.
Collins, Annie; Alexander, Rohan.
  • Collins A; University of Toronto, Toronto, Canada.
  • Alexander R; University of Toronto, Toronto, Canada.
Scientometrics ; 127(8): 4655-4673, 2022.
Article in English | MEDLINE | ID: covidwho-1990728
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.
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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Scientometrics Year: 2022 Document Type: Article Affiliation country: S11192-022-04418-2

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Scientometrics Year: 2022 Document Type: Article Affiliation country: S11192-022-04418-2