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

  1. Austin, PhD, Claire C. ORCID logo
  2. Bernier, Alexander ORCID logo
  3. Bezuidenhout, Louise ORCID logo
  4. Bicarregui, Juan ORCID logo
  5. Biro, Timea ORCID logo
  6. Cambon-Thomsen, Anne ORCID logo
  7. Russo Carroll, Stephanie ORCID logo
  8. Cournia, Zoe ORCID logo
  9. Dabrowski, Piotr Wojtek ORCID logo
  10. Thomas, Duflot ORCID logo
  11. Garcia Castro, Leyla Jael ORCID logo
  12. Gonzalez-Beltran, Alejandra ORCID logo
  13. Gururaj, Anupama ORCID logo
  14. Harrower, Natalie ORCID logo
  15. Medeiros, Claudia ORCID logo
  16. Méndez, Eva ORCID logo
  17. Meyers, Natalie ORCID logo
  18. Mietchen, Daniel ORCID logo
  19. nagrani, rajini ORCID logo
  20. Nilsonne, Gustav ORCID logo
  21. Pickering, John ORCID logo
  22. Polydoratou, Panayiota ORCID logo
  23. Psomopoulos, Fotis ORCID logo
  24. Rowe, Robyn ORCID logo
  25. Sansone, Susanna-Assunta ORCID logo
  26. Shanahan, Hugh ORCID logo
  27. Sitz, Lina ORCID logo
  28. Stocks, Joanne ORCID logo
  29. O'Brien Uhlmansiek, Mary ORCID logo
  30. Campos, Maria Luiza ORCID logo

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74ad42e8-74b0-4772-8bd1-8d0aa21f9d73_16378_-_hugh_shanahan.pdf 816,93KB
WeightNameValue
1000 Titel
  • Fostering global data sharing: highlighting the recommendations of the Research Data Alliance COVID-19 working group
1000 Autor/in
  1. Austin, PhD, Claire C. |
  2. Bernier, Alexander |
  3. Bezuidenhout, Louise |
  4. Bicarregui, Juan |
  5. Biro, Timea |
  6. Cambon-Thomsen, Anne |
  7. Russo Carroll, Stephanie |
  8. Cournia, Zoe |
  9. Dabrowski, Piotr Wojtek |
  10. Thomas, Duflot |
  11. Garcia Castro, Leyla Jael |
  12. Gonzalez-Beltran, Alejandra |
  13. Gururaj, Anupama |
  14. Harrower, Natalie |
  15. Medeiros, Claudia |
  16. Méndez, Eva |
  17. Meyers, Natalie |
  18. Mietchen, Daniel |
  19. nagrani, rajini |
  20. Nilsonne, Gustav |
  21. Pickering, John |
  22. Polydoratou, Panayiota |
  23. Psomopoulos, Fotis |
  24. Rowe, Robyn |
  25. Sansone, Susanna-Assunta |
  26. Shanahan, Hugh |
  27. Sitz, Lina |
  28. Stocks, Joanne |
  29. O'Brien Uhlmansiek, Mary |
  30. Campos, Maria Luiza |
1000 Erscheinungsjahr 2020
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-11-09
1000 Erschienen in
1000 Quellenangabe
  • 5:267
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.12688/wellcomeopenres.16378.1 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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 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.
1000 Sacherschließung
lokal Epidemiology
gnd 1206347392 COVID-19
lokal Omics
lokal Social Science
lokal Sharing research outputs in pandemics caused by infectious diseases
lokal Clinical Research
lokal FAIR and CARE principles
lokal Open science
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0001-9138-5986|https://orcid.org/0000-0001-8615-8375|https://orcid.org/0000-0003-4328-3963|https://orcid.org/0000-0001-5250-7653|https://orcid.org/0000-0002-8900-8978|https://orcid.org/0000-0001-8793-3644|https://orcid.org/0000-0002-8996-8071|https://orcid.org/0000-0001-9287-364X|https://orcid.org/0000-0003-4893-805X|https://orcid.org/0000-0002-8730-284X|https://orcid.org/0000-0003-3986-0510|https://orcid.org/0000-0003-3499-8262|https://orcid.org/0000-0002-4221-4379|https://orcid.org/0000-0002-7487-4881|https://orcid.org/0000-0003-1908-4753|https://orcid.org/0000-0002-5337-4722|https://orcid.org/0000-0001-6441-6716|https://orcid.org/0000-0001-9488-1870|https://orcid.org/0000-0002-1708-2319|https://orcid.org/0000-0001-5273-0150|https://orcid.org/0000-0002-6815-2938|https://orcid.org/0000-0002-7551-8002|https://orcid.org/0000-0002-0222-4273|https://orcid.org/0000-0003-0591-6213|https://orcid.org/0000-0001-5306-5690|https://orcid.org/0000-0003-1374-6015|https://orcid.org/0000-0002-6333-4986|https://orcid.org/0000-0002-7800-6002|https://orcid.org/0000-0002-7949-2057|https://orcid.org/0000-0002-7930-612X
1000 Label
1000 Förderer
  1. Wellcome Trust |
  2. Canadian Cancer Genome Collaboratory |
  3. Research Data Alliance |
  4. Horizon 2020 Framework Programme |
  5. L’Agence Universitaire de la Francophonie en Europe de l’Ouest |
  6. Université de Bordeaux |
  7. Fundação de Amparo à Pesquisa do Estado de São Paulo |
  8. Inter-university Consortium for Political and Social Research (ICPSR) |
  9. University of Michigan |
  10. National Institute on Drug Abuse |
  11. National Science Foundation |
1000 Fördernummer
  1. 212930
  2. -
  3. 777388
  4. 857645
  5. -
  6. -
  7. 13/08293-7
  8. -
  9. 75N95019C00017
  10. 75N95019C00017
  11. 1934649
1000 Förderprogramm
  1. Open Research division;
  2. -
  3. RDA EU 4.0 project
  4. National Initiatives for Open Science in Europe – NI4OS Europe project
  5. Patient-Covid19 project
  6. -
  7. State Foundation Grant
  8. -
  9. -
  10. -
  11. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Wellcome Trust |
    1000 Förderprogramm Open Research division;
    1000 Fördernummer 212930
  2. 1000 joinedFunding-child
    1000 Förderer Canadian Cancer Genome Collaboratory |
    1000 Förderprogramm -
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer Research Data Alliance |
    1000 Förderprogramm RDA EU 4.0 project
    1000 Fördernummer 777388
  4. 1000 joinedFunding-child
    1000 Förderer Horizon 2020 Framework Programme |
    1000 Förderprogramm National Initiatives for Open Science in Europe – NI4OS Europe project
    1000 Fördernummer 857645
  5. 1000 joinedFunding-child
    1000 Förderer L’Agence Universitaire de la Francophonie en Europe de l’Ouest |
    1000 Förderprogramm Patient-Covid19 project
    1000 Fördernummer -
  6. 1000 joinedFunding-child
    1000 Förderer Université de Bordeaux |
    1000 Förderprogramm -
    1000 Fördernummer -
  7. 1000 joinedFunding-child
    1000 Förderer Fundação de Amparo à Pesquisa do Estado de São Paulo |
    1000 Förderprogramm State Foundation Grant
    1000 Fördernummer 13/08293-7
  8. 1000 joinedFunding-child
    1000 Förderer Inter-university Consortium for Political and Social Research (ICPSR) |
    1000 Förderprogramm -
    1000 Fördernummer -
  9. 1000 joinedFunding-child
    1000 Förderer University of Michigan |
    1000 Förderprogramm -
    1000 Fördernummer 75N95019C00017
  10. 1000 joinedFunding-child
    1000 Förderer National Institute on Drug Abuse |
    1000 Förderprogramm -
    1000 Fördernummer 75N95019C00017
  11. 1000 joinedFunding-child
    1000 Förderer National Science Foundation |
    1000 Förderprogramm -
    1000 Fördernummer 1934649
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6425519.rdf
1000 Erstellt am 2021-02-04T12:15:10.592+0100
1000 Erstellt von 25
1000 beschreibt frl:6425519
1000 Bearbeitet von 25
1000 Zuletzt bearbeitet 2021-02-04T14:58:45.482+0100
1000 Objekt bearb. Thu Feb 04 12:16:03 CET 2021
1000 Vgl. frl:6425519
1000 Oai Id
  1. oai:frl.publisso.de:frl:6425519 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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