European Food Fraud Notifications from RASFF, 2000-2020

European Rapid Alert System for Food and Feed (RASFF) data contains 1,634 food fraud notifications from 2000 to 2020. Each record includes notification details, product categorization, involved countries, and a manually added fraud type classification. Wouter Hoenderdaal of Wageningen University & Research created this dataset, which was used to train a Bayesian network model for fraud prediction.

Use Cases

• Predicting food fraud type based on notification details and product categories using Bayesian network modeling.
• Analyzing trends in food fraud notifications over the 20-year period from 2000 to 2020.
• Identifying high-risk product categories or geographic origins based on the notification and origin country data.
• Studying the relationship between notification types and specific fraud classifications.

Strengths

• Contains 1,634 detailed records of food fraud notifications.
• Covers a 20-year time period from 2000 to 2020.
• Includes a manually annotated 'food fraud type' variable with six classifications.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Rapid Alert System for Food and Feed (RASFF) database.

Collection Method

Notifications were downloaded and a 'food fraud type' variable was manually added based on notification descriptions.

Time Range

2000-2020

Geography

European Union (based on the RASFF system), with notifications and origins involving various countries.