Documented data lineage and provenance tracing each: Which practice should have been in place to answer the
Only documented lineage and provenance capture each dataset's source and the ordered transformations applied before training.
The question
During an audit, a regulator asks the AI team to show where each training dataset originated and every transformation applied before it reached the model. The team realizes it never established this capability. Which practice should have been in place to answer the request?
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- Documented data lineage and provenance tracing each dataset's source and the sequence of transformations applied from acquisition through model training. ✓Data lineage and provenance records exactly what the regulator asked: origin of each dataset and the ordered transformations it underwent before training.
- A data retention schedule specifying how long each dataset is kept and when records are deleted, which governs the lifecycle of the stored training material.A retention schedule controls how long data persists, not where it came from or how it was transformed, so it cannot answer an origin-and-transformation request.
- A role-based access control matrix listing which team members may read or modify each dataset, which governs accountability over the training material.Access controls record who may touch data, not its source or transformation history, so they do not establish provenance.
- A data quality scorecard rating each dataset on completeness and accuracy, which documents whether the training material was fit for its intended purpose.A quality scorecard evaluates fitness but omits the origin and processing trail that lineage and provenance are meant to capture.
The trap
Assuming any data-governance document (retention, access, quality) can substitute for a true lineage/provenance trail. How to remember it
Only documented lineage and provenance capture each dataset's source and the ordered transformations applied before training.
How many of these would you get right?
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