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Compliance With Fair Principles In The Agricultural Ar-Ea: The Case of Coffee
This paper evaluates the level of the shared scientific data in the coffee research field using the F-UJI tool provided by the FAIRsFAIR project. We find that, in general, the principle that meets the highest scores is findable. For the reusable principle, none of the analyzed repositories reached a score of 50%. Therefore, the reusable principle is a pending subject. To highlight, the datasets that are published in the Zenodo, Dryad and Figshare repositories have better overall results in terms of the FAIR principles.
Luiza Petrosyan
Universitat Politècnica de València. Instituto Universitario de Matemática Pura y Aplicada - IUMPA
Spain
Andrea Sixto-Costoya
Universitat de València
Spain
Rafael Aleixandre-Benavent
Instituto de Gestión de la Innovación y del Conocimiento – Ingenio (CSIC-Universitat Politécnica de València
Spain
Fernanda Peset
Universitat Politècnica de València. Instituto Universitario de Matemática Pura y Aplicada - IUMPA
Spain
Juan Carlos Valderrama-Zurián
Universitat de València
Spain
Vidal Cabo Christian
Universidad Católica de Valencia
Spain
Antonia Ferrer Sapena
Universitat Politècnica de València. Instituto Universitario de Matemática Pura y Aplicada - IUMPA
Spain
