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. doi:10.1038/s41591-020-01203-7. 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.
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| 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 | ||||||||||||||||||||
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| Subject Keywords: | Medical research; Research data | ||||||||||||||||||||
| Issue or Number: | 1 | ||||||||||||||||||||
| DOI: | 10.1038/s41591-020-01203-7 | ||||||||||||||||||||
| 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: | 16 Nov 2021 19:04 |
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