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Enabling FAIR Clinical Data Standards with Linked Data

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The Semantic Web: ESWC 2020 Satellite Events (ESWC 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12124))

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Abstract

This article reports on our efforts to support FAIR Clinical Data Standards with Semantic Web technologies, including the challenge of bridging the gap for non-technical users.

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Notes

  1. 1.

    http://www.pistoiaalliance.org.

  2. 2.

    https://www.cdisc.org/.

References

  1. Fernández, J.D., Umbrich, J., Polleres, A., Knuth, M.: Evaluating query and storage strategies for RDF archives. Semant. Web 10(2), 247–291 (2019)

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  2. Thalhammer, A., Romacker, M., Rupp, J.: Semantic terminology management for applications: contextualized SKOS-XL. In: Proceedings of the International Semantic Web Conference (ISWC) Posters, Demos & Industry Tracks (2017). http://ceur-ws.org/Vol-1963/paper477.pdf

  3. Wilkinson, M.D., et al.: The FAIR guiding principles for scientific data management and stewardship. Sci. Data 3, 1–9 (2016)

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  4. Wise, J., et al.: Implementation and relevance of FAIR data principles in biopharmaceutical R&D. Drug Discov. Today 24(4), 933–938 (2019)

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Acknowledgment

This work was been possible thanks to the support of the DAAV Information Architects, the GDSR dev team and the RGITSC Custom Apps team.

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Correspondence to Javier D. Fernández .

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Fernández, J.D., Lasierra, N., Clement, D., Mason, H., Robinson, I. (2020). Enabling FAIR Clinical Data Standards with Linked Data. In: Harth, A., et al. The Semantic Web: ESWC 2020 Satellite Events. ESWC 2020. Lecture Notes in Computer Science(), vol 12124. Springer, Cham. https://doi.org/10.1007/978-3-030-62327-2_46

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  • DOI: https://doi.org/10.1007/978-3-030-62327-2_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-62326-5

  • Online ISBN: 978-3-030-62327-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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