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International Conference on Web Engineering

ICWE 2022: Web Engineering pp 465–468Cite as

A Metadata-Driven Tool for FAIR Data Production in Citizen Science Platforms

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13362))

Abstract

Citizen Science (CS) platforms include a large number of projects that manage data from citizen observations. However, data and metadata are not easily available and do not generally comply with standards. This makes it difficult to share data through the mechanisms commonly used in the scientific community, affecting the reuse of data outside the context of CS platforms. The adoption of Web standards could improve the FAIR (Findable, Accessible, Interoperable and Reusable) quality of shared data. Adopting standards is not enough; it is also important to provide the technologies that make it possible to find the data, access it, share it and be able to interoperate with the data. For this purpose, this paper presents a tool for the production of FAIR data from PPSR (Public Participation in Scientific Research) Core metadata model based platforms. The tool allows (i) transforming metadata from CS platforms to the DCAT (Data Catalogue Vocabulary) standard, (ii) generating Web APIs from the available data, and (iii) building a DCAT-validated data catalogue. This approach improves the FAIR compliance of CS data, empowering data consumers and developers.

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Notes

  1. 1.

    https://scistarter.org/.

  2. 2.

    https://core.citizenscience.org/docs/.

  3. 3.

    https://www.w3.org/TR/vocab-dcat-2/.

  4. 4.

    https://github.com/ralvarezluna/csdatalab-apigen.

  5. 5.

    https://www.w3.org/TR/shacl/.

  6. 6.

    https://data.vlaanderen.be/shacl-validator/.

  7. 7.

    https://github.com/Informasjonsforvaltning/datacatalogtordf.

  8. 8.

    https://rdflib.readthedocs.io/en/stable/#.

  9. 9.

    https://www.w3.org/2001/sw/wiki/RDFLib.

References

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  2. Ben Zaken, D., Gal, K., Shani, G., Segal, A., Cavalier, D.: Intelligent recommendations for citizen science. Proc. AAAI Conf. Artif. Intell. 35(17), 14693–14701 (2021)

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  5. Liu, H.-Y., Dörler, D., Heigl, F., Grossberndt, S.: Citizen science platforms. In: Vohland, K., et al. (eds.) The Science of Citizen Science, pp. 439–459. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-58278-4_22

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Author information

Authors and Affiliations

  1. University of Informatics Sciences, Havana, Cuba

    Reynaldo Alvarez

  2. Department of Languages and Computing Systems, University of Alicante, Alicante, Spain

    César González-Mora, Irene Garrigós & Jose Zubcoff

Authors
  1. Reynaldo Alvarez
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  2. César González-Mora
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  3. Irene Garrigós
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  4. Jose Zubcoff
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Corresponding author

Correspondence to Reynaldo Alvarez .

Editor information

Editors and Affiliations

  1. Polytechnic University of Bari, Bari, Italy

    Tommaso Di Noia

  2. Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea (Republic of)

    In-Young Ko

  3. Johannes Kepler University Linz, Linz, Austria

    Markus Schedl

  4. Polytechnic University of Bari, Bari, Italy

    Carmelo Ardito

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Alvarez, R., González-Mora, C., Garrigós, I., Zubcoff, J. (2022). A Metadata-Driven Tool for FAIR Data Production in Citizen Science Platforms. In: Di Noia, T., Ko, IY., Schedl, M., Ardito, C. (eds) Web Engineering. ICWE 2022. Lecture Notes in Computer Science, vol 13362. Springer, Cham. https://doi.org/10.1007/978-3-031-09917-5_36

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  • DOI: https://doi.org/10.1007/978-3-031-09917-5_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-09916-8

  • Online ISBN: 978-3-031-09917-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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