Ontology highlight
ABSTRACT:
SUBMITTER: Collins A
PROVIDER: S-EPMC9252536 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature
Scientometrics 20220704 8
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 tho ...[more]