International projects
DemonstratIng Value of agri data sharIng for boostiNg data Economy in agriculture
Organisations (2)
Abstract
Agriculture is being managed more tightly than ever before and is generating more data than ever before, but the potential of a data economy in agriculture remains unexplored. The reasons for this are varied, and include technical interoperability, business relationships between stakeholders, and social acceptability issues around data ownership and market transparency.Individual stakeholders make use of the data they generate at their own particular stage in the agri-food supply chain. However, the sharing of this data with others along the chain and its collective analysis needs more development and demonstration if more efficiencies are to be introduced and further value added to the agri-data economy. While some sharing is taking place on an ad-hoc basis, each new set of potential data sharers must start from scratch and work through the same issues common to all such arrangements. Equally, the lack of data sharing precedents in agriculture inhibits data owners from taking a more exploratory view of the world.Several dimensions must be considered in policy-making if a fully functioning data economy in the agriculture domain is to emerge. Such a multi-disciplinary approach is at the core of the DIVINE consortium, which encompasses technical (agriculture and ICT), markets, and social sciences expertise. It will build an agri-data ecosystem that incorporates existing common agri data spaces while deploying industry-led pilots built on data sharing arrangements, to demonstrate the cost-benefit and added value in sharing agri data. DIVINE will assess its ecosystem at the level of policy impacts, the uptake of digital technologies, and economic and environmental performance.DIVINE will promote its ecosystem and its assessments to technology providers, policy-makers, farm representatives, and various other agri-data stakeholders. It will take the first real concrete steps towards mature data markets in European and global agriculture.
