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A DCAT Profile Approach for Citizen Science

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Current Trends in Web Engineering (ICWE 2023)

Abstract

Many citizen science projects generate large amounts of data in the life sciences. In fact, the most successful and mature projects study species movements or behaviour patterns through spatio-temporal observations. However, the use of these data is difficult in some scenarios due to the heterogeneity of the sources and the lack of consensus on how to share them across different scientific communities. This work focuses on defining a DCAT profile for citizen science based on PPSR Core to promote consistency and interoperability with other DCAT-based systems, such as data repositories and search engines. This can facilitate the discovery, sharing and reuse of citizen science data across different life science projects.

Supported by Wake, University of Alicante.

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Notes

  1. 1.

    https://www.zooniverse.org/.

  2. 2.

    https://ebird.org/.

  3. 3.

    https://www.marineboard.eu/citizen-science.

  4. 4.

    https://dwc.tdwg.org/.

  5. 5.

    https://schema.org/.

  6. 6.

    http://www.sparontologies.net/ontologies/frapo.

  7. 7.

    https://github.com/ewilderj/doap.

  8. 8.

    https://lov.linkeddata.es/dataset/lov/vocabs/pdo.

  9. 9.

    https://ec-jrc.github.io/citsci-ontology/prj/.

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Correspondence to Reynaldo Alvarez Luna .

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Luna, R.A., Zubcoff, J., Garrigós, I. (2024). A DCAT Profile Approach for Citizen Science. In: Casteleyn, S., Mikkonen, T., García Simón, A., Ko, IY., Loseto, G. (eds) Current Trends in Web Engineering. ICWE 2023. Communications in Computer and Information Science, vol 1898. Springer, Cham. https://doi.org/10.1007/978-3-031-50385-6_13

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  • DOI: https://doi.org/10.1007/978-3-031-50385-6_13

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