Agriculture would benefit hugely from a common data ecosystem. Produced and used by diverse stakeholders, from governments, to smallholders, to multinational conglomerates, a shared global data space would help build the infrastructures that will propel the global open data for agriculture and nutrition forward. A significant amount of research has been done on the global data ecosystem and what it looks like, a mix of collaboration and sharing frameworks, standards, infrastructures and principles.

 

Open Data Standards for Agriculture

A data standard a set of rules by which data should be described and recorded.

Using data standards to structure and describe datasets with similar content is necessary to make the data easily discoverable, to analyze the data in coherence with similar dataset, or to be able to interchange one dataset for another of the same sort when better data becomes available or when focussing on a different area. To facilitate the standardization of data the Agrisemantics Map of Standards has been established. This lists over 140 agriculture-specific vocabularies, classification schemes and metadata standards. Many of these have been developed in scientific and specialist domains to support data sharing within particular communities of practice.

 

Registering to the CIARD RING

The CIARD RING, maintained by the Global Forum on Agricultural Research (GFAR), aims to interlink all agricultural relevant data sources. The RING is a global directory of information services and datasets in agriculture, which aims to make all relevant datasets discoverable (also by machine) through one entry point and to interlink all major sources. New open data infrastructures are invited to register their services and datasets to this portal and to make use of the data sources within.

Currently 3052 agricultural data services have been tagged geographically at the CIARD RING.

 

Data from international organisations

International organisations provide more and more data sets with a global coverage that are important for agriculture at a national and regional level. Examples include: