If you are a software provider dealing with low user adoption of data tools — this project developed design principles and 9 case studies that show how to create data-enabled business models. This helps you move from a simple tool to a scalable service that users actually trust.
Unlocking New Revenue Streams through Data Sharing in the European Food System
Imagine the food industry as a giant puzzle where every company holds a few pieces of data, but no one sees the whole picture. This work creates a guidebook and a monitoring system to help companies share that information safely and fairly. It turns messy data into a clear map that helps businesses grow while protecting the planet.
What needed solving
Data-driven tools in food systems often fail to scale because there is no clear way to share data fairly or profitably. Companies struggle to move from promising pilots to widespread adoption due to a lack of clear business models.
What was built
A monitoring system to evaluate data economy performance and a roadmap with design principles for data-enabled business models.
Who needs this
Who can put this to work
If you are a logistics operator dealing with inefficient data exchange between farmers and retailers — this project developed a roadmap for a data economy. This allows you to implement interoperability standards that reduce waste and improve delivery speed.
If you are a retailer dealing with pressure to prove sustainability for the Green Deal — this project developed a system to monitor and evaluate the impact of data on food systems. This provides the evidence needed to meet EU policy requirements and attract eco-conscious customers.
Quick answers
What is the cost or price to implement these solutions?
Based on available project data, no specific pricing or implementation costs are provided as the project focuses on design principles and roadmaps.
Can this be scaled to an industrial level?
Yes, the project uses 9 case studies at micro- and meso-economic levels to test how data-driven innovations can be upscaled for broader acceptance.
Who owns the IP or how is licensing handled?
Based on available project data, specific licensing terms are not mentioned, but the project aims to create an open knowledge base for the data economy.
How does this help with EU regulations?
The project specifically supports the implementation of the Digital Single Market, Green Deal, and the Common Agricultural Policy.
What is the timeline for the results?
The project runs from September 2022 to August 2026, providing a phased roadmap toward a future data economy.
Who built it
The consortium is heavily weighted toward research and academia (18 out of 25 partners), but maintains a 20% industry ratio with 5 industrial partners and 5 SMEs. This suggests the output is highly evidence-based and theoretically sound, while the inclusion of SMEs ensures that the resulting business models are grounded in practical, small-scale operational realities across 12 European countries.
Contact Stichting Wageningen Research in the Netherlands
Talk to the team behind this work.
Contact us to find the specific case study relevant to your food-sector niche.