Food safety trends across Europe: insights from the 392-million-entry CompreHensive European Food Safety (CHEFS) database

2025-07-18

AI Summary

EU food safety monitoring data are historically fragmented across approximately 1,000 heterogeneous files (hundreds of GB), severely impeding accessibility and analytical efficiency. Method: We developed the Comprehensive European Food Safety database (CHEFS), the first unified repository integrating 392 million pesticide residue, veterinary drug residue, and chemical contaminant monitoring records from 2000–2024—covering 15.2 million samples. Through multi-source data cleaning, semantic standardization, and spatiotemporal structuring, we constructed a harmonized, comparable dataset. Statistical modeling and interactive visualization were applied to analyze compliance rates, surveillance patterns, and longitudinal trends across food categories, contaminant classes, and Member States. Contribution/Results: CHEFS enables cross-national, multidimensional risk assessment at unprecedented scale and resolution. It provides a reusable infrastructure and empirical evidence base for evidence-informed policymaking, regulatory prioritization, and early-warning systems in food safety governance.

Technology Category

• Application Domains: Humanities & Computational Social Science
• Data Mining & Knowledge Management: Intelligent Query Processing
• Constraint Satisfaction and Optimization: Solvers and Tools

Application Category

• Security and Privacy: Data transparency and provenance
• Economics, Online Markets and Human Computation: Data quality aspects of human-annotated datasets
• Web Mining and Content Analysis: Web data integration and cleaning

Abstract

In the European Union, official food safety monitoring data collected by member states are submitted to the European Food Safety Authority (EFSA) and published on Zenodo. This data includes 392 million analytical results derived from over 15.2 million samples covering more than 4,000 different types of food products, offering great opportunities for artificial intelligence to analyze trends, predict hazards, and support early warning systems. However, the current format with data distributed across approximately 1000 files totaling several hundred gigabytes hinders accessibility and analysis. To address this, we introduce the CompreHensive European Food Safety (CHEFS) database, which consolidates EFSA monitoring data on pesticide residues, veterinary medicinal product residues, and chemical contaminants into a unified and structured dataset. We describe the creation and structure of the CHEFS database and demonstrate its potential by analyzing trends in European food safety monitoring data from 2000 to 2024. Our analyses explore changes in monitoring activities, the most frequently tested products, which products were most often non-compliant and which contaminants were most often found, and differences across countries. These findings highlight the CHEFS database as both a centralized data source and a strategic tool for guiding food safety policy, research, and regulation.

Problem

• Large fragmented food safety data hinders analysis
• Need centralized database for EU food monitoring trends
• CHEFS integrates pesticide, veterinary, chemical contaminant data

Innovation

• Consolidates EFSA data into unified structured dataset
• Enables AI analysis of food safety trends
• Supports early warning systems and policy