Six steps to implementing FAIR and responsible data practices

Two farmers look at data on a tablet.
The FAIR Process Framework was developed by CABI and commissioned by the Gates Foundation to guide organizations toward effective data management. Boma Beddie-Memberr, Project Manager, Data Policy & Practice at CABI, outlines the six steps to implementing FAIR and responsible data. The FAIR Process Framework is a structured six-step approach designed to promote the adoption…
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Unpacking FAIR’s jargon: The Indian example

Ameen Jauhar, Data Governance Lead in CABI’s Digital Development team, examines the importance of the FAIR (Findable, Accessible, Interoperable, and Reusable) data principles. Drawing from his experience in data governance and policy, including his work in the data and AI policy sector in India, Ameen explores nuances between global and local data governance jargon and…
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Workshop focuses on creating healthy ‘data ecosystems’ to boost food security in India

Data ecosystems
CABI has been funded a two-year US$1.49 million project by the Gates Foundation to help increase food security in India and Ethiopia through better access to data on soil health, agronomy and fertilizers. This is being carried out with a focus to ensure that available data on agricultural development is based upon FAIR principles–Findable, Accessible,…
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