Contribute to our list of different types, sources and examples of data related to agriculture, and help us develop a better understanding of data in the sector
The global food system is struggling under the combined pressures of a growing population, climate uncertainty and volatile market forces.
Martin Parr, programme director of the Global Open Data in Agriculture and Nutrition (GODAN) network has recently said, “the world needs a new agricultural revolution and that’s going to come through a data revolution.”
Open data – data that anyone can access, use and share – has proven itself as a valuable resource across numerous sectors. Through applied research, open discussion and sector-focused events, the ODI is actively exploring how open data can be used to improve agriculture and nutrition around the world.
But what data is actually out there to use?
In May, we produced a paper in collaboration with the GODAN network to identify the ways in which open data can be utilised in the agriculture sector. Through this research we came across a number of different types, sources and examples of data related to the sector.
We have published this list as a Google Sheet, and invite you to contribute to it. You may want to comment to suggest a new type of data, or add a new key source or example dataset. Your contributions will ultimately help us all to develop a better understanding of data in the sector.
As well as contributing to the spreadsheet, if you have experiences or ideas to share about improving agriculture and nutrition with open data, we want to hear from you. Pitch us a blog to email@example.com or tweet us @ODIHQ.