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Reproducibility and reporting practices in COVID-19 preprint manuscripts
Published on by Leslie D. McIntosh
The novel coronavirus, COVID-19, has sparked an outflow of scientific research seeking to
understand the virus, its spread, and best practices in prevention and treatment. If this international
research effort is going to be as swift and effective as possible, it will need to rely on a principle of
open science. When researchers share data, code, and software and generally make their work as
transparent as possible, it allows other researchers to verify and expand upon their work.
Furthermore, it allows public officials to make informed decisions. In this study, we analyzed 535
preprint articles related to COVID-19 for eight transparency criteria and recorded study location and
funding information. We found that individual researchers have lined up to help during this crisis,
quickly tackling important public health questions, often without funding or support from outside
organizations. However, most authors could improve their data sharing and scientific reporting
practices. The contrast between researchers’ commitment to doing important research and their
reporting practices reveals underlying weaknesses in the research community’s reporting habits, but
not necessarily their science.
Cite items from this project
DataCite
3 Biotech
3D Printing in Medicine
3D Research
3D-Printed Materials and Systems
4OR
AAPG Bulletin
AAPS Open
AAPS PharmSciTech
Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg
ABI Technik (German)
Academic Medicine
Academic Pediatrics
Academic Psychiatry
Academic Questions
Academy of Management Discoveries
Academy of Management Journal
Academy of Management Learning and Education
Academy of Management Perspectives
Academy of Management Proceedings
Academy of Management Review
Funding
None