FAIRification of Citizen Science Data Through Metadata-Driven Web API Development-Reference-Cited by-同舟云学术

FAIRification of Citizen Science Data Through Metadata-Driven Web API Development

Published:2022 Issue: Volume: Page:162-176
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Alvarez Reynaldo^ORCID,González-Mora César^ORCID,Zubcoff José^ORCID,Garrigós Irene^ORCID,Mazón Jose-Norberto^ORCID,González Diez Hector Raúl^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-09917-5_11

Reference33 articles.

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3. 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)

4. Bowser, A.: Standardizing citizen science? Biodivers. Inf. Sci. Stand. 1, e21123 (2017)

5. Bowser, A., et al.: Still in need of norms: the state of the data in citizen science. Citizen Sci. Theory Pract. 5(1) (2020)

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