Cultivating FAIR principles for agri-food data
| Autor: | Jan Top, Sander Janssen, Hendrik Boogaard, Rob Knapen, Görkem Şimşek-Şenel |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Earth Observation and Environmental Informatics
FAIR principles Ontology Forestry Agriculture Horticulture PE&RC Computer Science Applications Laboratory of Geo-information Science and Remote Sensing Supply Chain & Information Management Food supply chain Aardobservatie en omgevingsinformatica Data sharing Laboratorium voor Geo-informatiekunde en Remote Sensing Agronomy and Crop Science Controlled vocabulary |
| Zdroj: | Computers and Electronics in Agriculture 196 (2022) Computers and Electronics in Agriculture, 196 |
| ISSN: | 0168-1699 |
| DOI: | 10.1016/j.compag.2022.106909 |
| Popis: | Data generated by the global food system is crucial in the transformation towards sustainable, resilient, and high-quality food production. Although the amount of potentially useful data is growing rapidly, its (re)use is still limited. The FAIR-principles have been developed for making data findable, accessible, interoperable, and reusable both by humans and machines. This paper explores the further operationalization of the FAIR principles in agriculture and food. Experience shows that several conditions must be fulfilled before data can be effectively shared and reused. First, automated tools must be available for data providers and users. Secondly, we need a community-based approach in developing tools and vocabularies. Thirdly, data cannot be shared by an open-by-default policy only. Finally, scientific insight is needed in how data is actually (re)used in scientific communities. We conclude that bringing the FAIR-principles to full maturity requires a fair balance of efforts within the agri-food communities, supported by a proper infrastructure. |
| Databáze: | OpenAIRE |
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