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Fostering global data sharing: highlighting the recommendations of the Research Data Alliance COVID-19 working group
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7808050/ https://www.ncbi.nlm.nih.gov/pubmed/33501381 http://dx.doi.org/10.12688/wellcomeopenres.16378.2 |
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author | Austin, Claire C. Bernier, Alexander Bezuidenhout, Louise Bicarregui, Juan Biro, Timea Cambon-Thomsen, Anne Carroll, Stephanie Russo Cournia, Zoe Dabrowski, Piotr Wojciech Diallo, Gayo Duflot, Thomas Garcia, Leyla Gesing, Sandra Gonzalez-Beltran, Alejandra Gururaj, Anupama Harrower, Natalie Lin, Dawei Medeiros, Claudia Méndez, Eva Meyers, Natalie Mietchen, Daniel Nagrani, Rajini Nilsonne, Gustav Parker, Simon Pickering, Brian Pienta, Amy Polydoratou, Panayiota Psomopoulos, Fotis Rennes, Stephanie Rowe, Robyn Sansone, Susanna-Assunta Shanahan, Hugh Sitz, Lina Stocks, Joanne Tovani-Palone, Marcos Roberto Uhlmansiek, Mary |
author_facet | Austin, Claire C. Bernier, Alexander Bezuidenhout, Louise Bicarregui, Juan Biro, Timea Cambon-Thomsen, Anne Carroll, Stephanie Russo Cournia, Zoe Dabrowski, Piotr Wojciech Diallo, Gayo Duflot, Thomas Garcia, Leyla Gesing, Sandra Gonzalez-Beltran, Alejandra Gururaj, Anupama Harrower, Natalie Lin, Dawei Medeiros, Claudia Méndez, Eva Meyers, Natalie Mietchen, Daniel Nagrani, Rajini Nilsonne, Gustav Parker, Simon Pickering, Brian Pienta, Amy Polydoratou, Panayiota Psomopoulos, Fotis Rennes, Stephanie Rowe, Robyn Sansone, Susanna-Assunta Shanahan, Hugh Sitz, Lina Stocks, Joanne Tovani-Palone, Marcos Roberto Uhlmansiek, Mary |
author_sort | Austin, Claire C. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7808050 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-78080502021-01-25 Fostering global data sharing: highlighting the recommendations of the Research Data Alliance COVID-19 working group Austin, Claire C. Bernier, Alexander Bezuidenhout, Louise Bicarregui, Juan Biro, Timea Cambon-Thomsen, Anne Carroll, Stephanie Russo Cournia, Zoe Dabrowski, Piotr Wojciech Diallo, Gayo Duflot, Thomas Garcia, Leyla Gesing, Sandra Gonzalez-Beltran, Alejandra Gururaj, Anupama Harrower, Natalie Lin, Dawei Medeiros, Claudia Méndez, Eva Meyers, Natalie Mietchen, Daniel Nagrani, Rajini Nilsonne, Gustav Parker, Simon Pickering, Brian Pienta, Amy Polydoratou, Panayiota Psomopoulos, Fotis Rennes, Stephanie Rowe, Robyn Sansone, Susanna-Assunta Shanahan, Hugh Sitz, Lina Stocks, Joanne Tovani-Palone, Marcos Roberto Uhlmansiek, Mary Wellcome Open Res Open Letter 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. F1000 Research Limited 2021-05-26 /pmc/articles/PMC7808050/ /pubmed/33501381 http://dx.doi.org/10.12688/wellcomeopenres.16378.2 Text en Copyright: © 2021 Austin CC et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The author(s) is/are employees of the US Government and therefore domestic copyright protection in USA does not apply to this work. The work may be protected under the copyright laws of other jurisdictions when used in those jurisdictions. |
spellingShingle | Open Letter Austin, Claire C. Bernier, Alexander Bezuidenhout, Louise Bicarregui, Juan Biro, Timea Cambon-Thomsen, Anne Carroll, Stephanie Russo Cournia, Zoe Dabrowski, Piotr Wojciech Diallo, Gayo Duflot, Thomas Garcia, Leyla Gesing, Sandra Gonzalez-Beltran, Alejandra Gururaj, Anupama Harrower, Natalie Lin, Dawei Medeiros, Claudia Méndez, Eva Meyers, Natalie Mietchen, Daniel Nagrani, Rajini Nilsonne, Gustav Parker, Simon Pickering, Brian Pienta, Amy Polydoratou, Panayiota Psomopoulos, Fotis Rennes, Stephanie Rowe, Robyn Sansone, Susanna-Assunta Shanahan, Hugh Sitz, Lina Stocks, Joanne Tovani-Palone, Marcos Roberto Uhlmansiek, Mary Fostering global data sharing: highlighting the recommendations of the Research Data Alliance COVID-19 working group |
title | Fostering global data sharing: highlighting the recommendations of the Research Data Alliance COVID-19 working group |
title_full | Fostering global data sharing: highlighting the recommendations of the Research Data Alliance COVID-19 working group |
title_fullStr | Fostering global data sharing: highlighting the recommendations of the Research Data Alliance COVID-19 working group |
title_full_unstemmed | Fostering global data sharing: highlighting the recommendations of the Research Data Alliance COVID-19 working group |
title_short | Fostering global data sharing: highlighting the recommendations of the Research Data Alliance COVID-19 working group |
title_sort | fostering global data sharing: highlighting the recommendations of the research data alliance covid-19 working group |
topic | Open Letter |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7808050/ https://www.ncbi.nlm.nih.gov/pubmed/33501381 http://dx.doi.org/10.12688/wellcomeopenres.16378.2 |
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