Design of FoodDataQuest Reference Architecture and Data Model
Partners from Netcompany-Intrasoft published the project’s Deliverable 2.2 (D2.2), which outlines the design of the Reference Architecture and Data Model for FoodDataQuest (FDQ), defining the technical foundation for secure, trustworthy, and interoperable private data sharing across the agri-food value chain. As a central output of Work Package 2 (WP2), it builds on the FDQ Framework from D2.1 and incorporates insights from WP1 on current data practices […]
Data and AI in the Agrifood Sector: Challenges, Future Perspectives and Use Case Applications
On 3 October 2025, FoodDataQuest will host a stakeholder event-open to both in-person and online participants-focused on the role of data and Artificial Intelligence (AI) in transforming the agrifood sector. With supply chain productivity, labor shortages, and climate change high on the EU agenda, data sharing, digitalisation, and AI integration have become key priorities. Yet, […]
Understanding challenges and opportunities for private data sharing
As part of Work Package 1 (WP1), FoodDataQuest, explores the private data sharing ecosystem to accelerate the transition towards sustainable food systems. Within the project, gain creators refer to services and products that help overcome challenges in private data sharing. Another key element is the identification of opportunities, which involves examining novel set of data from outside the […]
Synergy Days 2025 projects: FoodDataQuest
Article originally published on Synergy Portal The FoodDataQuest project aims to promote sustainable and healthy diets by combining public and private data, engaging stakeholders across the food chain, and leveraging four usecases. Utilizing various data sources and fostering enhanced data sharing, it will provide insights driving the shift toward healthier diets. Through a multi-actor approach, […]
Building Trust, Sharing Data: FoodDataQuest develops its first Framework
As part of Work Package 2 (WP2) “Framework and Architecture” within the FoodDataQuest (FDQ) project, the initial version of the FDQ Framework is now available in Deliverable 2.1. This document also features the first version of the FDQ Blueprint—a modular and adaptable guide built on the FDQ framework, designed to enable trustworthy, secure, and interoperable private […]
Data4Food Cluster online workshop: What helps and hurts when sharing data for sustainable food solutions
The four Data4Food Cluster projects DRG4Food, FOODITY, SOSFood, and FoodDataQuest are bringing together citizens, consumers, researchers, and industry professionals for an important online workshop on data sharing for sustainable food solutions. This event aims reflect on the existing challenges, enablers, and gains associated with data sharing and AI-driven food sustainability solutions. It will discuss important topics […]
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