FAIRagro’s work does not end with developing services and tools. Our mission is only fulfilled if these services are known, trusted, and actively used by our community – by researchers and institutions alike.
And only if these services truly fit the needs of agricultural researchers — supporting them in managing their data efficiently and in a FAIR way.
Our success greatly depends on our community.
That is why, from the very beginning, FAIRagro has followed an open-door approach.
We are not a closed project — we are an initiative supporting a growing FAIR movement within the agricultural research community.
We actively reach out to the community — engaging more institutions and departments, collaborating with other research projects, and connecting with learners and users alike.
This is why we offer since Feb 2025 the FAIRagro FAIRness and Openness Commitment: A voluntary declaration for individuals, projects, and institutions outlining shared values
and practical steps to advance FAIR data practices in agrosystem sciences.
Two main statements: “We commit to advance FAIRness and Openness in Agro science and beyond” and “We value data infrastructure and data experts”, followed by 12 supporting statements encompassing key areas of RDM and Open Science Practices. Who can sign? All members of the agri science community are invited (individuals as well as institutions, societies, administrations, organisations etc.
Where to sign? Simply visit: fairagro.net/commitment
Other posts
Posts
New class: Infrastructure for Mathematics (MaRDI)
This course discusses the concepts and services that mathematics students often only learn about during thesis writing or by word of mouth. When introducing research data management topics, we focus on how to do maths efficiently and sustainably.
Best practices in mathematics: small trees (MaRDI)
One example of FAIR mathematics is the project small phylogenetic trees: an early 2000’s mathematical library transformed into a modern website, a software package, and a best practice report.
The Health Study Hub: From Data Silos to Knowledge Infrastructure (NFDI4Health)
The Health Study Hub by NFDI4Health brings together studies, instruments, and documents in one central platform, making health research data systematically discoverable and usable. By providing standardized, FAIR-compliant data, it enhances connectivity, reduces duplication, and accelerates research.
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