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Automated screening of COVID-19 preprints: can we help authors to improve transparency and reproducibility?

Weissgerber, Tracey and Riedel, Nico and Kilicoglu, Halil and Labbé, Cyril and Eckmann, Peter and ter Riet, Gerben and Byrne, Jennifer and Cabanac, Guillaume and Capes-Davis, Amanda and Favier, Bertrand and Saladi, Shyam and Grabitz, Peter and Bannach-Brown, Alexandra and Schulz, Robert and McCann, Sarah and Bernard, Rene and Bandrowski, Anita (2021) Automated screening of COVID-19 preprints: can we help authors to improve transparency and reproducibility? Nature Medicine, 27 (1). pp. 6-7. ISSN 1078-8956. https://resolver.caltech.edu/CaltechAUTHORS:20210119-072728244

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Abstract

The COVID-19 pandemic has thrust preprints into the spotlight, attracting attention from the media and the public, as well as from scientists. Preprints are articles not yet published in a peer-reviewed journal, and as such they offer a unique opportunity to improve reporting. The Automated Screening Working Group (https://scicrunch.org/ASWG/about/COVIDPreprint) aims to provide rapid feedback that may help authors of COVID-19 preprints to improve their transparency and reproducibility.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1038/s41591-020-01203-7DOIArticle
https://rdcu.be/cdQE2PublisherFree ReadCube access
https://scicrunch.org/ASWG/about/COVIDPreprintRelated ItemAutomated Screening Working Group
ORCID:
AuthorORCID
Weissgerber, Tracey0000-0002-7490-2600
Riedel, Nico0000-0002-3808-1163
ter Riet, Gerben0000-0002-2231-7637
Byrne, Jennifer0000-0002-8923-0587
Saladi, Shyam0000-0001-9701-3059
Schulz, Robert0000-0002-4830-309X
McCann, Sarah0000-0003-4737-2349
Bernard, Rene0000-0003-3265-2372
Bandrowski, Anita0000-0002-5497-0243
Additional Information:© 2021 Nature Publishing Group. Published 11 January 2021. SciScore was funded by the US National Institutes of Health (OD024432, DA039832, DK097771, MH119094, and HHSN276201700124P). The development and application of Seek & Blastn is supported by grants from the US Office of Research Integrity, grant ID ORIIR180038-01-00 (J.A.B., C.L.), and from the National Health and Medical Research Council of Australia, Ideas grant ID APP1184263 (J.A.B., C.L., A.C.D.). Development of Limitation-Recognizer was partially supported by the intramural research program of the NIH and National Library of Medicine. Competing interests: A.B. is a cofounder of SciCrunch Inc.
Group:COVID-19
Funders:
Funding AgencyGrant Number
NIHOD024432
NIHDA039832
NIHDK097771
NIHMH119094
NIHHHSN276201700124P
Department of Health and Human ServicesORIIR180038-01-00
National Health and Medical Research Council of AustraliaAPP1184263
Subject Keywords:Medical research; Research data
Issue or Number:1
Record Number:CaltechAUTHORS:20210119-072728244
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20210119-072728244
Official Citation:Weissgerber, T., Riedel, N., Kilicoglu, H. et al. Automated screening of COVID-19 preprints: can we help authors to improve transparency and reproducibility?. Nat Med 27, 6–7 (2021). https://doi.org/10.1038/s41591-020-01203-7
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:107532
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:19 Jan 2021 16:18
Last Modified:02 Feb 2021 20:28

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