About the project

FoodDataQuest will develop ground-breaking data-driven solutions based on an integrated methodological framework that explores new types of private and public data sources, data from “unconventional players” and non-competitive data, and leverages data sharing mechanisms in order to provide the EU food chain stakeholders with increased insights and enhance the transition towards sustainable healthy diets. The proposed framework will include guidelines and data collection strategies, to drive the food system transformation towards inclusive, sustainable, healthy diets within the boundaries of legal and policy frameworks. FoodDataQuest will co-create and test advanced data-driven solutions based on AI and ML algorithms, following a multi-actor approach that will serve as a lighthouse that positively impacts a fair, healthy and environmentally friendly food system. Last, FoodDataQuest will engage citizens in industry’s data-driven innovations balancing between data openness and protection of private and sensitive data of multiple stakeholders.

Project Objectives

SET-UP a methodological framework consisting of innovative methods, state-of-the-art technologies, reliable processes widely accepted and open data standards, and interoperable systems that facilitate data sharing throughout the EU food chains and reduce the fragmentation and complexity of food systems.

ANALYSE the current landscape of data sharing in the entire food chain and examine the use of emerging digital technologies such as Data Analytics, Artificial Intelligence and Machine Learning towards the enhancement of food system sustainability.

DEMONSTRATE the effectiveness of the proposed methodological framework through the co-creation and validation of four (4) use cases with the active engagement of relevant stakeholders from the food chain that will pave the way for a sustainable, fair, healthy, and environmentally friendly food system.

INTRODUCE the project’s results based on digital and data technologies to relevant policy-making organizations and standardization initiatives to foster policy reforms related to inclusive and sustainable food systems and increase the global competitiveness of European data ecosystems.
ENSURE wide communication and scientific dissemination of the project’s outcomes by consolidating international and European links, raising awareness, engaging citizens, enhancing multi-stakeholder cooperation and information-sharing, and ensuring the technology transfer of the project’s results and their rapid uptake.


Nowadays, the agri-food industry faces numerous challenges dealing with societal, public health, individual nutrition environmental, food waste and overall food systems sustainability challenges. Imbalances and disconnected food markets are generating undesirable trade-offs between the food supply, the consumption patterns, quality of nutrition and the environment. Moreover, food business operators find it difficult to combine requirements from different stakeholders, such as government, retailers, food processors, as well as consumers.

While the world faces a tremendous technological progress and evolution of consumers’ lifestyles, agriculture and food systems yet have been slow to benefit from these developments with the business sector to be significantly behind in exploiting the power of technology and making it widely accessible.

Interoperability and data sharing across agri-food supply networks are limited and these limitations comes from the competing interests of different stakeholders, ranging from food retailers to farmers. There is an urgent need for the agri-food industry to proceed into a digital transformation2 in order to be capable to respond to current and future policy challenges, to harmonize production and consumption demands, to improve connectivity between them with trust and transparency, to strengthen food system performance and to anchor the governance of food systems in inclusive policies and participatory institutions. Digitalization attempts yet are not something new for the food sector. In the last few decades, digitalisation has largely transformed logistics and retail. However, other parts of the supply and value chains have experienced varying levels of digital transformation. Different types of data are generated through these individual systems yet connectivity and interoperability between them is still missing.