The potential of big data capabilities to transform the agriculture sector more often than not relies on data from different sources that must be considered together or aggregated to provide insights. For example, a service that provides smallholder farmers with advice based on data collected from market trends, regional crop yields, and climate analysis and predictions would require data pulled together from a wide variety of sources.

GARDIAN, the first pan-CGIAR search engine for agricultural data, is an important step toward bringing together valuable scientific knowledge, generated across the CGIAR network and beyond, and making these resources FAIR (Findable, Accessible, Interoperable, and Reusable).

This demonstration video by Medha Devare, author and architect of the Global Agricultural Research Data Innovation & Acceleration Network (GARDIAN), launched by the CGIAR Platform for Big Data in Agriculture, provides a clear overview of how to best use the pan-CGIAR data search and discovery tool and how to understand FAIR data classification.

To go straight to the demo click here.