About: Reproducibility and reporting practices in COVID-19 preprint manuscripts

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Reproducibility and reporting practices in COVID-19 preprint manuscripts
Creator	Haynes, Leah Hudson-Vitale, Cynthia Mcintosh, Leslie Nathan, Sarah Sumner, Josh
source	MedRxiv
abstract	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 the commitment of researchers to doing important research and their reporting practices reveals underlying weaknesses in reporting habits, but not necessarily their science.
has issue date	2020-03-27(xsd:dateTime)
bibo:doi	10.1101/2020.03.24.20042796
has license	medrxiv
sha1sum (hex)	010ed5c4253bc74c0d01935cb22bff3a69e2a887
schema:url	https://doi.org/10.1101/2020.03.24.20042796
resource representing a document's title	Reproducibility and reporting practices in COVID-19 preprint manuscripts
resource representing a document's body	covid:010ed5c4253bc74c0d01935cb22bff3a69e2a887#body_text
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