displayName
Dataset Versioning Governance
workflowKind
governance
triggerType
continuous
typicalCadence
continuous
complexity
cross-team
description
Governs the versioning lifecycle of ML training and evaluation datasets —
enforcing DVC or LakeFS versioning policies, validating that dataset
lineage metadata tracks transformations and source provenance, auditing
storage deduplication, managing access controls per dataset sensitivity
tier, and ensuring reproducibility by linking model artifacts to exact
dataset versions. Excludes dataset creation and labeling.