Fish Species Substitution Summary Data contains results from the Canadian Food Inspection Agency's surveillance program to verify fish product labeling and detect species substitution. The data was generated using DNA-based fish species identification testing. The dataset is published by the Canadian Food Inspection Agency and was last updated on 2026 -05-15.
Use Cases
- Detect patterns of fish species mislabeling based on surveillance results.
- Train fraud detection models using DNA verification outcomes.
- Analyze compliance trends in the seafood industry based on inspection data.
- Assess the effectiveness of food fraud surveillance programs.
Strengths
- Data originates from a national regulatory agency, the Canadian Food Inspection Agency.
- Methodology is specified as DNA-based fish species identification testing.
- Linked to multiple annual Food Fraud reports (2020-2024) for context.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Freshness should be verified despite the 2026 update date.
Provenance
- Source
- Canadian Food Inspection Agency
- Collection Method
- DNA-based fish species identification testing on surveillance samples.
- Time Range
- Surveillance reports referenced span from 2019 to 2024.
- Freshness
- Last updated 2026-05-15 13:02:03.964594
- Geography
- Canada