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Towards a More Reproducible Biomedical Research Environment: Endorsement and Adoption of the FAIR Principles

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Biomedical Engineering Systems and Technologies (BIOSTEC 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1211))

Abstract

The FAIR guiding Principles for scientific data management and stewardship are a fundamental enabler for digital transformation and transparent research. They were designed with the purpose of improving data quality, by making it Findable, Accessible, Interoperable and Reusable. While these principles have been endorsed by both data owners and regulators as key data management techniques, their translation into practice in quite novel. The recent publication of FAIR metrics that allow for the evaluation of the degree of FAIRness of a data source, platform or system is a further booster towards their adoption and practical implementation. We present in this paper an overview of the adoption and impact of the FAIR principles in the area of biomedical and life-science research. Moreover, we consider the use case of biomedical data discovery platforms and assess the degree of FAIR compatibility of three such platforms. This assessment is guided by the FAIR metrics.

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Notes

  1. 1.

    http://eoscpilot.org.

  2. 2.

    http://www.elixir-europe.org.

  3. 3.

    http://commonfound.nih.gov/bd2k/.

  4. 4.

    http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-data-mgt_en.pdf.

  5. 5.

    www.ehden.eu.

  6. 6.

    http://bd4bo.eu/.

  7. 7.

    https://www.go-fair.org.

  8. 8.

    fairsfair.eu.

  9. 9.

    https://fairsharing.org/.

  10. 10.

    https://fair-dom.org/about-fairdom/.

  11. 11.

    http://www.openphactsfoundation.org/.

  12. 12.

    http://fairmetrics.org.

  13. 13.

    www.smart-api.info.

  14. 14.

    https://github.com/FAIRMetrics/Metrics/blob/master/ALL.pdf.

  15. 15.

    https://toolbox.google.com/datasetsearch.

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Acknowledgements

This work has received support from the Innovative Medicines Initiative 2 Joint Undertaking (JU) under grant agreement No 806968 and from the Integrated Programme of SR&TD SOCA (Ref. CENTRO-01-0145-FEDER-000010). The JU receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA.

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Authors and Affiliations

  1. DETI/IEETA, University of Aveiro, Aveiro, Portugal

    Alina Trifan & José Luís Oliveira

Authors
  1. Alina Trifan
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  2. José Luís Oliveira
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Corresponding author

Correspondence to Alina Trifan .

Editor information

Editors and Affiliations

  1. Universidade Nova de Lisboa, Caparica, Portugal

    Ana Roque

  2. Lodz University of Technology, Łódź, Poland

    Arkadiusz Tomczyk

  3. Nice Sophia Antipolis University, Nice Cedex 2, France

    Elisabetta De Maria

  4. University of Bremen, Bremen, Germany

    Felix Putze

  5. University of West Bohemia, Pilsen, Czech Republic

    Roman Moucek

  6. Instituto de Telecomunicações, University of Lisbon, Lisbon, Portugal

    Ana Fred

  7. Universidade Nova de Lisboa, Caparica, Portugal

    Hugo Gamboa

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Trifan, A., Oliveira, J.L. (2020). Towards a More Reproducible Biomedical Research Environment: Endorsement and Adoption of the FAIR Principles. In: Roque, A., et al. Biomedical Engineering Systems and Technologies. BIOSTEC 2019. Communications in Computer and Information Science, vol 1211. Springer, Cham. https://doi.org/10.1007/978-3-030-46970-2_22

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  • DOI: https://doi.org/10.1007/978-3-030-46970-2_22

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