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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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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