How the EU Transforms EFSA Data into Opportunities for Artificial Intelligence and Effective Public Policies
In the European Union, official food safety monitoring data collected annually by Member States are submitted to the European Food Safety Authority (EFSA) and published on the Zenodo platform. The volume of this information is remarkable: more than 392 million analytical results derived from 15.2 million samples, covering over 4,000 types of food products.
This massive dataset presents exceptional opportunities for applying artificial intelligence to identify trends, predict hazards, and develop early warning systems. However, its current format—distributed across roughly 1,000 files totaling several hundred gigabytes—limits accessibility and analytical efficiency.
CHEFS: the solution for centralizing monitoring data
To overcome these barriers, researchers have created the CompreHensive European Food Safety (CHEFS) database— a unified resource integrating all EFSA monitoring data on:
- pesticide residues
- residues of veterinary medicinal products
- chemical contaminants
CHEFS consolidates a fragmented mass of information into a coherent, structured, and accessible dataset, optimized for research, public policy analysis, and machine-learning applications.
How the CHEFS database was built
The team behind the database describes in detail the processes of:
- aggregating data from all Member State submissions
- cleaning and standardizing the information to remove errors and inconsistencies
- harmonizing product codes, contaminants, and analytical methods
- integrating everything into a single logical architecture designed for advanced analysis
The result is a robust, scalable resource, ready for use in research regardless of the user’s technical background.
What the data reveal: analysis of the 2000–2024 period
Using the CHEFS database, the authors examined how food safety monitoring has evolved in Europe over nearly 25 years. Their analyses explore:
- Changes in monitoring activities
How frequently and intensively Member States have tested food products over the years, based on emerging risks.
- The most frequently tested food products
Which categories are considered high-risk and consistently monitored.
- Products with the highest non-compliance rates
Identifying food categories that most often exceeded legal limits.
- The contaminants most commonly detected
Recurrent problematic substances found in the European food chain.
- Differences between countries
Variations in controls, contamination rates, and monitoring practices at national level.
CHEFS – a strategic tool for the future of food safety
The study’s conclusions clearly show that CHEFS is not merely a centralized data repository, but a strategic tool capable of:
- guiding European public policies
- supporting regulatory decision-making
- strengthening academic research
- improving the EU’s ability to detect emerging risks
- accelerating the use of artificial intelligence in food safety
Source SCIENCE DIRECT.