TY - JOUR
T1 - Fostering global data sharing
T2 - highlighting the recommendations of the Research Data Alliance COVID-19 working group
AU - Austin, Claire C.
AU - Bernier, Alexander
AU - Bezuidenhout, Louise
AU - Bicarregui, Juan
AU - Biro, Timea
AU - Cambon-Thomsen, Anne
AU - Carroll, Stephanie Russo
AU - Cournia, Zoe
AU - Dabrowski, Piotr Wojciech
AU - Diallo, Gayo
AU - Duflot, Thomas
AU - Garcia, Leyla
AU - Gesing, Sandra
AU - Gonzalez-Beltran, Alejandra
AU - Gururaj, Anupama
AU - Harrower, Natalie
AU - Lin, Dawei
AU - Medeiros, Claudia
AU - Méndez, Eva
AU - Meyers, Natalie
AU - Mietchen, Daniel
AU - Nagrani, Rajini
AU - Nilsonne, Gustav
AU - Parker, Simon
AU - Pickering, Brian
AU - Pienta, Amy
AU - Polydoratou, Panayiota
AU - Psomopoulos, Fotis
AU - Rennes, Stephanie
AU - Rowe, Robyn
AU - Sansone, Susanna Assunta
AU - Shanahan, Hugh
AU - Sitz, Lina
AU - Stocks, Joanne
AU - Tovani-Palone, Marcos Roberto
AU - Uhlmansiek, Mary
N1 - Funding Information:
Grant information: The Research Data Alliance has been supported through a grant from the Open Research division of Wellcome. A. Barnier is supported by the Canadian Cancer Genome Collaboratory. A. Cambon-Thomsen and E. Méndez are supported by RDA EU 4.0 project, ref. GA no. 777388. Z. Cournia is supported by by the European Unions Horizon 2020 European research infrastructures, "National Initiatives for Open Science in Europe – NI4OS Europe" project (grant agreement no. 857645). G. Diallo is supported by AUF Europe de l'Ouest (Patient-Covid19 project) and Univ. Bordeaux (France). C. Medieros is supported by FAPESP - Sao Paulo State Foundation Grant 13/08293-7. A. Pienta is supported through the Inter-university Consortium for Political and Social Research (ICPSR), University of Michigan and National Institute on Drug Abuse 75N95019C00017. S. Sansone is supported through Wellcome grant 212930. M. Uhlmansiek is supported through US National Science Foundation grant 1934649.
Funding Information:
This work has led to a number of follow-up activities within the RDA, including the creation of a new Community of Practice for Infectious Disease Data. There were four follow-up sessions at the 16th RDA Plenary in November 2020, and another three are planned for the 17th Plenary in April 2021. There have also been many spinoff activities. One article has been published in a peer-reviewed journal (Rodriguez-Lonebear et al., 2020), one is currently under review (Carroll et al., 2021, submitted to Frontiers in Medical Sociology), and one has been conditionally accepted (Pickering et al., in press, submitted to Open Research Europe), in addition to the present paper. There are a further five papers that have been published as preprints (Austin et al., 2020; Hallinan et al., 2020; Sauermann et al., 2020; Schmidt et al., 2020; and Tonnang et al., 2020), three that are available as discussion papers (Greenfield et al., 2020a; Greenfield et al., 2020b; Greenfield et al., 2020c), and one that is available as an RDA supporting output (Harrower & Dillo, 2020). There have been 10 conference presentations and seven webinars. Finally, the results of this work have supported a number of research grant proposals including two that have been funded relating to COVID-19 and Indigenous communities (NIEHS, 2020).
Publisher Copyright:
© 2021. Austin CC et al.
PY - 2021
Y1 - 2021
N2 - The systemic challenges of the COVID-19 pandemic require crossdisciplinary 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, crosssectoral, 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.
AB - The systemic challenges of the COVID-19 pandemic require crossdisciplinary 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, crosssectoral, 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.
KW - COVID-19
KW - Clinical Research
KW - Epidemiology
KW - FAIR and CARE principles
KW - Omics
KW - Open science
KW - Sharing research outputs in pandemics caused by infectious diseases
KW - Social Science
UR - http://www.scopus.com/inward/record.url?scp=85117324446&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85117324446&partnerID=8YFLogxK
U2 - 10.12688/WELLCOMEOPENRES.16378.2
DO - 10.12688/WELLCOMEOPENRES.16378.2
M3 - Letter
AN - SCOPUS:85117324446
SN - 2398-502X
VL - 5
SP - 1
EP - 24
JO - Wellcome Open Research
JF - Wellcome Open Research
ER -