| Literature DB >> 33501381 |
Claire C Austin1, Alexander Bernier2, Louise Bezuidenhout3, Juan Bicarregui4, Timea Biro5, Anne Cambon-Thomsen6, Stephanie Russo Carroll7, Zoe Cournia8, Piotr Wojciech Dabrowski9, Gayo Diallo10, Thomas Duflot11, Leyla Garcia12, Sandra Gesing13, Alejandra Gonzalez-Beltran4, Anupama Gururaj14, Natalie Harrower5, Dawei Lin14, Claudia Medeiros15, Eva Méndez16, Natalie Meyers17, Daniel Mietchen18, Rajini Nagrani19, Gustav Nilsonne20, Simon Parker21, Brian Pickering22, Amy Pienta23, Panayiota Polydoratou24, Fotis Psomopoulos25, Stephanie Rennes26, Robyn Rowe27, Susanna-Assunta Sansone28, Hugh Shanahan29, Lina Sitz30, Joanne Stocks31, Marcos Roberto Tovani-Palone32,33, Mary Uhlmansiek34.
Abstract
The systemic challenges of the COVID-19 pandemic require cross-disciplinary collaboration in a global and timely fashion. Such collaboration needs open research practices and the sharing of research outputs, such as data and code, thereby facilitating research and research reproducibility and timely collaboration beyond borders. The Research Data Alliance COVID-19 Working Group recently published a set of recommendations and guidelines on data sharing and related best practices for COVID-19 research. These guidelines include recommendations for clinicians, researchers, policy- and decision-makers, funders, publishers, public health experts, disaster preparedness and response experts, infrastructure providers from the perspective of different domains (Clinical Medicine, Omics, Epidemiology, Social Sciences, Community Participation, Indigenous Peoples, Research Software, Legal and Ethical Considerations), and other potential users. These guidelines include recommendations for researchers, policymakers, funders, publishers and infrastructure providers from the perspective of different domains (Clinical Medicine, Omics, Epidemiology, Social Sciences, Community Participation, Indigenous Peoples, Research Software, Legal and Ethical Considerations). Several overarching themes have emerged from this document such as the need to balance the creation of data adherent to FAIR principles (findable, accessible, interoperable and reusable), with the need for quick data release; the use of trustworthy research data repositories; the use of well-annotated data with meaningful metadata; and practices of documenting methods and software. The resulting document marks an unprecedented cross-disciplinary, cross-sectoral, and cross-jurisdictional effort authored by over 160 experts from around the globe. This letter summarises key points of the Recommendations and Guidelines, highlights the relevant findings, shines a spotlight on the process, and suggests how these developments can be leveraged by the wider scientific community. Copyright:Entities:
Keywords: COVID-19; Clinical Research; Epidemiology; FAIR and CARE principles; Omics; Open science; Sharing research outputs in pandemics caused by infectious diseases; Social Science
Year: 2021 PMID: 33501381 PMCID: PMC7808050.2 DOI: 10.12688/wellcomeopenres.16378.2
Source DB: PubMed Journal: Wellcome Open Res ISSN: 2398-502X