The quality of shared datasets in agriculture: a further step in the study of shared data quality.

Luiza, Petrosyan, Andrea, Sixto-Costoya, Juan-Carlos, Valderrama-Zurián, Peset, Fernanda, Ferrer-Sapena, Antonia and Rafael, Aleixandre-Benavent The quality of shared datasets in agriculture: a further step in the study of shared data quality., 2022 . In 17th International Digital Curation Conference, Scotland, 14-15 of June 2022. [Conference poster]

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English abstract

The interest in the field of agriculture responds to a need recognized by all international organizations, being its maximum exponent the Zero Hunger goal, within the Sustainable Development Goals of the UN Agenda 2030. It is necessary to seek the best methodologies and strategies to improve research in this area. The goal of this study is to investigate useful methodologies to determine compliance with the FAIR principles in the field of agriculture, taking as a reference two resources: Data Citation Index (DCI) and F-UJI tool, developed by the FAIRsFAIR team.

Item type:	Conference poster
Keywords:	FAIR data, repositories, agriculture, datasets.
Subjects:	D. Libraries as physical collections. > DI. Science libraries. D. Libraries as physical collections. > DL. Archives. F. Management. > FJ. Knowledge management H. Information sources, supports, channels. > HS. Repositories. I. Information treatment for information services > IE. Data and metadata structures. I. Information treatment for information services > IM. Open data L. Information technology and library technology > LJ. Software.
Depositing user:	Máster Luiza Petrosyan
Date deposited:	14 Jun 2022 14:25
Last modified:	14 Jun 2022 14:25
URI:	http://hdl.handle.net/10760/43275

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