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

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  • معلومة اضافية
    • Contributors:
      Environment and Climate Change Canada (ECCC); Centre of Genomics and Policy Montréal (CGP); McGill University = Université McGill Montréal, Canada; University of Oxford; STFC Rutherford Appleton Laboratory (RAL); Science and Technology Facilities Council (STFC); Royal Irish Academy (RIA); Equipe BIOETHICS (CERPOP); Centre d'Epidémiologie et de Recherche en santé des POPulations (CERPOP); Université Toulouse III - Paul Sabatier (UT3); Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3); Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM); University of Arizona; Biomedical Research Foundation of the Academy of Athens (BRFAA); University of Applied Sciences Berlin (HTW); Bordeaux population health (BPH); Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM); Université de Rouen Normandie (UNIROUEN); Normandie Université (NU); CHU Rouen; Information Centre for Life Sciences (ZB MED); University of Notre Dame Indiana (UND); National Institute of Allergy and Infectious Diseases Bethesda (NIAID-NIH); National Institutes of Health Bethesda, MD, USA (NIH); Universidade Estadual de Campinas = University of Campinas (UNICAMP); Universidad Carlos III de Madrid Madrid (UC3M); University of Virginia; Leibniz Institute for Prevention Research and Epidemiology - BIPS; Leibniz Association; Karolinska Institutet Stockholm; The Institute of Cancer Research, London, UK.; University of Southampton; University of Michigan Ann Arbor; University of Michigan System; International Hellenic University (IHU); Institute of Applied Biosciences Thessaloniki, Greece (IAB); Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE); Laurentian University; University of London London; Chercheur indépendant; University of Nottingham, UK (UON); Universidade de São Paulo = University of São Paulo (USP); Research Data Alliance; WT_/Wellcome Trust/United Kingdom 75N95019C00017/DA/NIDA NIH HHS/United States BB/E025080/1/BB_/Biotechnology and Biological Sciences Research Council/United Kingdom
    • بيانات النشر:
      HAL CCSD
      F1000Research
    • الموضوع:
      2020
    • Collection:
      Normandie Université: HAL
    • نبذة مختصرة :
      International audience ; 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 ...
    • Relation:
      info:eu-repo/semantics/altIdentifier/pmid/33501381; PUBMED: 33501381; PUBMEDCENTRAL: PMC7808050
    • الرقم المعرف:
      10.12688/wellcomeopenres.16378.2
    • الدخول الالكتروني :
      https://hal.science/hal-03575569
      https://hal.science/hal-03575569v1/document
      https://hal.science/hal-03575569v1/file/PDF%20Datastream.pdf
      https://doi.org/10.12688/wellcomeopenres.16378.2
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.60079F1E