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Fair+E pathogen data for surveillance and research

Lessons from Covid-19

Bibliographic Data

ID22083126
AuthorsAitana Neves (0000-0002-3984-6842, SIB Swiss Institute of Bioinformatics, corresponding author), Isabel Cuesta (0000-0002-7911-9041, Instituto de Salud Carlos III, corresponding author), Erik Hjerde (0000-0002-6014-1249, UiT The Arctic University of Norway, corresponding author), Terje Klemetsen (0000-0002-2024-1798, UiT The Arctic University of Norway), David Salgado (0000-0001-6840-1482, Centre National de la Recherche Scientifique), Jacques van Helden (0000-0002-8799-8584, Centre National de la Recherche Scientifique), Nadim Rahman (0000-0002-5045-3038, European Bioinformatics Institute), Nazeefa Fatima (0000-0001-7791-4984, University of Oslo), Nestoras Karathanasis (0000-0003-4119-0851, Cyprus Institute of Neurology and Genetics), Pawel Zmora (0000-0002-2012-7223, Institute of Bioorganic Chemistry, Polish Academy of Sciences), Wolmar Nyberg Åkerström (Uppsala University), Sushma Nagaraja Grellscheid (0000-0001-6410-1749, University of Bergen), Zahra Waheed (0000-0001-9160-5774, European Bioinformatics Institute), Niklas Blomberg (0000-0003-4155-5910)
Year2023
Volume11
Pages1289945-1289945
Publication date2023-11-21
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2023.1289945
PMID38074768
OpenAlexW4388940341
LanguageEN
References cited29

The COVID-19 pandemic has exemplified the importance of interoperable and equitable data sharing for global surveillance and to support research. While many challenges could be overcome, at least in some countries, many hurdles within the organizational, scientific, technical and cultural realms still remain to be tackled to be prepared for future threats. We propose to (i) continue supporting global efforts that have proven to be efficient and trustworthy toward addressing challenges in pathogen molecular data sharing; (ii) establish a distributed network of Pathogen Data Platforms to (a) ensure high quality data, metadata standardization and data analysis, (b) perform data brokering on behalf of data providers both for research and surveillance, (c) foster capacity building and continuous improvements, also for pandemic preparedness; (iii) establish an International One Health Pathogens Portal, connecting pathogen data isolated from various sources (human, animal, food, environment), in a truly One Health approach and following FAIR principles. To address these challenging endeavors, we have started an ELIXIR Focus Group where we invite all interested experts to join in a concerted, expert-driven effort toward sustaining and ensuring high-quality data for global surveillance and research

Business · Data quality · Data science · Data sharing · Interoperability · Knowledge management · Metadata · Pandemic · Political science · Preparedness · Standardization · World Wide Web · Computer Science · COVID-19 diagnosis using AI · Medicine · SARS-CoV-2 detection and testing · Zoonotic diseases and public health

  • Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

    Open Access•Chaolin Huang, Yeming Wang et al.•The Lancet•2020

  • The Fair Guiding Principles for scientific data management and stewardship

    Open Access•Mark D Wilkinson, Michel Dumontier et al.•Scientific Data•2016

  • A Novel Coronavirus from Patients with Pneumonia in China, 2019

    Na Zhu, 양승민 양승민 et al.•New England Journal of Medicine•2020

  • Are Countries Becoming Better at Sars-CoV-2 Genomic Surveillance

    Open Access•Utkarsha Mahanta, Gayatri Saberwal et al.•Frontiers in Public Health•2022

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