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Austin CC, Bernier A, Bezuidenhout L, et al. Fostering global data sharing: highlighting the recommendations of the Research Data Alliance COVID-19 working group. Wellcome Open Res. 2021;5:267doi: 10.12688/wellcomeopenres.16378.2.
Austin, C. C., Bernier, A., Bezuidenhout, L., Bicarregui, J., Biro, T., Cambon-Thomsen, A., Carroll, S. R., Cournia, Z., Dabrowski, P. W., Diallo, G., Duflot, T., Garcia, L., Gesing, S., Gonzalez-Beltran, A., Gururaj, A., Harrower, N., Lin, D., Medeiros, C., Méndez, E., Meyers, N., Mietchen, D., Nagrani, R., Nilsonne, G., Parker, S., Pickering, B., Pienta, A., Polydoratou, P., Psomopoulos, F., Rennes, S., Rowe, R., Sansone, S. A., Shanahan, H., Sitz, L., Stocks, J., Tovani-Palone, M. R., Uhlmansiek, M. (2020). Fostering global data sharing: highlighting the recommendations of the Research Data Alliance COVID-19 working group. Wellcome open research, 5267. https://doi.org/10.12688/wellcomeopenres.16378.2
Austin, Claire C, et al. "Fostering global data sharing: highlighting the recommendations of the Research Data Alliance COVID-19 working group." Wellcome open research vol. 5 (2020): 267. doi: https://doi.org/10.12688/wellcomeopenres.16378.2
Austin CC, Bernier A, Bezuidenhout L, Bicarregui J, Biro T, Cambon-Thomsen A, Carroll SR, Cournia Z, Dabrowski PW, Diallo G, Duflot T, Garcia L, Gesing S, Gonzalez-Beltran A, Gururaj A, Harrower N, Lin D, Medeiros C, Méndez E, Meyers N, Mietchen D, Nagrani R, Nilsonne G, Parker S, Pickering B, Pienta A, Polydoratou P, Psomopoulos F, Rennes S, Rowe R, Sansone SA, Shanahan H, Sitz L, Stocks J, Tovani-Palone MR, Uhlmansiek M. Fostering global data sharing: highlighting the recommendations of the Research Data Alliance COVID-19 working group. Wellcome Open Res. 2021 May 26;5:267. doi: 10.12688/wellcomeopenres.16378.2. eCollection 2020. PMID: 33501381; PMCID: PMC7808050.2.
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Wellcome Open Res. 2021 May 26;5:267. doi: 10.12688/wellcomeopenres.16378.2. eCollection 2020.

Fostering global data sharing: highlighting the recommendations of the Research Data Alliance COVID-19 working group.

Wellcome open research

Claire C Austin, Alexander Bernier, Louise Bezuidenhout, Juan Bicarregui, Timea Biro, Anne Cambon-Thomsen, Stephanie Russo Carroll, Zoe Cournia, Piotr Wojciech Dabrowski, Gayo Diallo, Thomas Duflot, Leyla Garcia, Sandra Gesing, Alejandra Gonzalez-Beltran, Anupama Gururaj, Natalie Harrower, Dawei Lin, Claudia Medeiros, Eva Méndez, Natalie Meyers, Daniel Mietchen, Rajini Nagrani, Gustav Nilsonne, Simon Parker, Brian Pickering, Amy Pienta, Panayiota Polydoratou, Fotis Psomopoulos, Stephanie Rennes, Robyn Rowe, Susanna-Assunta Sansone, Hugh Shanahan, Lina Sitz, Joanne Stocks, Marcos Roberto Tovani-Palone, Mary Uhlmansiek,

Affiliations

  1. Environment and Climate Change Canada, 351 boul. St-Joseph, Gatineau, Quebec, K1A 0H3, Canada.
  2. Centre of Genomics and Policy, McGill University, 740, avenue Dr. Penfield, suite 5200, Montreal, Quebec, Canada.
  3. Institute for Science, Innovation and Society, University of Oxford, 64 Banbury Road, Oxford, OX2 6PN, UK.
  4. UKRI-STFC Rutherford Appleton Laboratory, Harwell Campus, Didcot, OX11 0QX, UK.
  5. Digital Repository of Ireland, Royal Irish Academy, 19 Dawson St, Dublin 2, D02 HH58, Ireland.
  6. CNRS, Inserm and University Toulouse III Paul Sabatier, Toulouse, France.
  7. Native Nations Institute at the Udall Center for Studies in Public Policy and the College of Public Health, University of Arizona, 803 E First ST, Tucson, AZ, 85719, USA.
  8. Biomedical Research Foundation, Academy of Athens, 4 Soranou Ephessiou, Athens, 11527, Greece.
  9. HTW Berlin University of Applied Science, Wilhelminenhofstraße 75A, Berlin, 12459, Germany.
  10. BPH INSERM1219 & LaBRI, Univ. Bordeaux, 146 rue Léo Saignat, F-33000, Bordeaux, France.
  11. Normandie Univ, UNIROUEN, CHU Rouen, Department of Clinical Research, Rouen University Hospital, 1 Rue de Germont, Rouen Cedex, 76031, France.
  12. ZB MED Information Centre for Life Sciences, Gleueler Str 60, Cologne, 50931, Germany.
  13. University of Notre Dame Center for Research Computing, 814 Flanner Hall, Notre Dame, IN, 46556, USA.
  14. National Institute of Allergy and Infectious Diseases, National Institutes of Health, 5601 Fishers Lane, Rockville, MD, 20852, USA.
  15. Institute of Computing, University of Campinas, Av Albert Einstein 1251, Campinas, São Paulo, 13082-853, Brazil.
  16. Universidad Carlos III de Madrid, C/ Madrid, 128, Getafe (Madrid), 28903, Spain.
  17. 250D Navari Center for Digital Scholarship, Hesburgh Library, University of Notre Dame, Notre Dame, IN, 46556, USA.
  18. School of Data Science, University of Virginia, P.O. Box 400249, Charlottesville, VA, 22904, USA.
  19. Leibniz Institute for Prevention Research and Epidemiology, Achterstrasse 30, Bremen, 28359, Germany.
  20. Karolinska Institutet & Swedish National Data Service, Nobels väg 9, Stockholm, 17177, Sweden.
  21. Cancer Research UK, 2 Redman Place, London, E20 1JQ, UK.
  22. University of Southampton, University Road, Southampton, SO17 1BJ, UK.
  23. ICPSR, University of Michigan, P.O. Box 1248, Ann Arbor, MI, 48106-1248, USA.
  24. OpenEdition/Department of Library Science, Archives and Information Systems, International Hellenic University, P.O. Box 141, Thessaloniki, 57400, Greece.
  25. Institute of Applied Biosciences (INAB), Centre for Research and Technology Hellas (CERTH), Thessaloniki, 57001, Greece.
  26. INRAE National Research Institute for Agriculture, Food and Environment, 147 Rue de l'Université, Paris, 75007, France.
  27. Laurentian University, Ontario, P3E 2C6, Canada.
  28. Oxford e-Research Centre, Department of Engineering Science, University of Oxford, 7 Keble Road, Oxford, OX1 3QG, UK.
  29. Department of Computer Science, Royal Holloway, University of London, Bedford Building, Egham, TW20 0EX, UK.
  30. Indepedent Researcher, Strada Costiera, Trieste, 34151, Italy.
  31. Division of Rheumatology, Orthopedics and Dermatology, School of Medicine, University of Nottingham, Queens Medical Centre, Nottingham, NG7 2UH, UK.
  32. Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil.
  33. Modestum Ltd, Hilton, Derbyshire, UK.
  34. Research Data Alliance - US Region (RDA-US), c/o Ronin Institute, 127 Haddon Place, Montclair, NJ, 07043, USA.

PMID: 33501381 PMCID: PMC7808050.2 DOI: 10.12688/wellcomeopenres.16378.2

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: © 2021 Austin CC et al.

Keywords: COVID-19; Clinical Research; Epidemiology; FAIR and CARE principles; Omics; Open science; Sharing research outputs in pandemics caused by infectious diseases; Social Science

Conflict of interest statement

No competing interests were disclosed.

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