How do we implement versioning and governance for datasets?

How It Works:

Use data version control (DVC) or similar tools to track changes, tag releases, and manage metadata; enforce access controls and data-usage policies via a centralized catalog.

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Key Benefits:

• Traceability: Know exactly which data version trained each model.
• Collaboration: Teams share and reproduce datasets reliably.
• Compliance: Enforce retention and deletion policies.

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Real-World Use Cases:

• Clinical trials: Immutable data tracking for regulatory audits.
• Financial forecasting: Version-controlled time-series data.