English

Reproducibility of COVID-19 pre-prints

Applications 2022-03-17 v3 Computers and Society Digital Libraries Physics and Society

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 per cent of those on arXiv, 67 per cent of those on bioRxiv, and 79 per cent of those on medRxiv.

Keywords

Cite

@article{arxiv.2107.10724,
  title  = {Reproducibility of COVID-19 pre-prints},
  author = {Annie Collins and Rohan Alexander},
  journal= {arXiv preprint arXiv:2107.10724},
  year   = {2022}
}

Comments

17 pages, 15 tables, 4 figures 2021-12-08 replacement fixes a few incorrect references and adds reference to some additional papers 2021-03-16 replacement contains major revisions