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…
Read Further

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,…
Read Further