TY - JOUR
T1 - Cultivating FAIR principles for agri-food data
AU - Top, Jan
AU - Janssen, Sander
AU - Boogaard, Hendrik
AU - Knapen, Rob
AU - Şimşek-Şenel, Görkem
PY - 2022/5
Y1 - 2022/5
N2 - 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.
AB - 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.
KW - Agriculture
KW - Controlled vocabulary
KW - Data sharing
KW - FAIR principles
KW - Food supply chain
KW - Ontology
U2 - 10.1016/j.compag.2022.106909
DO - 10.1016/j.compag.2022.106909
M3 - Article
AN - SCOPUS:85127177971
SN - 0168-1699
VL - 196
JO - Computers and Electronics in Agriculture
JF - Computers and Electronics in Agriculture
M1 - 106909
ER -