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  • Shaw, FelixDigital Biology, Earlham Institute, Norwich, Norfolk, NR4 7UZ, UK (author)

COPO : a metadata platform for brokering FAIR data in the life sciences

  • Article/chapterEnglish2020

Publisher, publication year, extent ...

  • 2020-06-02
  • F1000 Research Ltd,2020
  • electronicrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:uu-447141
  • https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447141URI
  • https://doi.org/10.12688/f1000research.23889.1DOI

Supplementary language notes

  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • Scientific innovation is increasingly reliant on data and computational resources. Much of today’s life science research involves generating, processing, and reusing heterogeneous datasets that are growing exponentially in size. Demand for technical experts (data scientists and bioinformaticians) to process these data is at an all-time high, but these are not typically trained in good data management practices. That said, we have come a long way in the last decade, with funders, publishers, and researchers themselves making the case for open, interoperable data as a key component of an open science philosophy. In response, recognition of the FAIR Principles (that data should be Findable, Accessible, Interoperable and Reusable) has become commonplace. However, both technical and cultural challenges for the implementation of these principles still exist when storing, managing, analysing and disseminating both legacy and new data. COPO is a computational system that attempts to address some of these challenges by enabling scientists to describe their research objects (raw or processed data, publications, samples, images, etc.) using community-sanctioned metadata sets and vocabularies, and then use public or institutional repositories to share them with the wider scientific community. COPO encourages data generators to adhere to appropriate metadata standards when publishing research objects, using semantic terms to add meaning to them and specify relationships between them. This allows data consumers, be they people or machines, to find, aggregate, and analyse data which would otherwise be private or invisible, building upon existing standards to push the state of the art in scientific data dissemination whilst minimising the burden of data publication and sharing.  

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  • Etuk, AnthonyDigital Biology, Earlham Institute, Norwich, Norfolk, NR4 7UZ, UK (author)
  • Minotto, AliceDigital Biology, Earlham Institute, Norwich, Norfolk, NR4 7UZ, UK (author)
  • Gonzalez-Beltran, AlejandraOxford e-Research Centre, University of Oxford, Oxford, Oxfordshire, OX1 3QG, UK; Scientific Computing Department, Rutherford Appleton Laboratory, Science and Technology Facilities Council, Harwell Campus, Didcot, OX11 0QX, UK (author)
  • Johnson, DavidUppsala universitet,Institutionen för informatik och media,Oxford e-Research Centre, University of Oxford, Oxford, Oxfordshire, OX1 3QG, UK(Swepub:uu)davjo605 (author)
  • Rocca-Serra, PhilippeOxford e-Research Centre, University of Oxford, Oxford, Oxfordshire, OX1 3QG, UK (author)
  • Laporte, Marie-AngéliqueBioversity International - France, Montpellier, Languedoc-Roussillon, France (author)
  • Arnaud, ElizabethBioversity International - France, Montpellier, Languedoc-Roussillon, France (author)
  • Devare, MedhaInternational Food Policy Research Institute, Washington, D.C., 20005, USA (author)
  • Kersey, Paul J.Royal Bontanic Gardens - Kew, Richmond, London, TW9 3AE, UK; EMBL European Bioinformatics Institute, Hinxton, Cambridge, Cambridgshire, CB10 1SD, UK (author)
  • Sansone, Susanna-AssuntaOxford e-Research Centre, University of Oxford, Oxford, Oxfordshire, OX1 3QG, UK (author)
  • Davey, Robert P.Digital Biology, Earlham Institute, Norwich, Norfolk, NR4 7UZ, UK (author)
  • Digital Biology, Earlham Institute, Norwich, Norfolk, NR4 7UZ, UKOxford e-Research Centre, University of Oxford, Oxford, Oxfordshire, OX1 3QG, UK; Scientific Computing Department, Rutherford Appleton Laboratory, Science and Technology Facilities Council, Harwell Campus, Didcot, OX11 0QX, UK (creator_code:org_t)

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  • In:F1000 Research: F1000 Research Ltd92046-1402

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