iiRecord
Agentic AI Atlas · Dataset Versioning Governance
workflow:dataset-versioning-governancea5c.ai
II.
Workflow JSON

workflow:dataset-versioning-governance

Structured · live

Dataset Versioning Governance json

Inspect the normalized record payload exactly as the atlas UI reads it.

File · workflows/workflows/workflows-data-science-deep.yamlCluster · workflows
Record JSON
{
  "id": "workflow:dataset-versioning-governance",
  "_kind": "Workflow",
  "_file": "workflows/workflows/workflows-data-science-deep.yaml",
  "_cluster": "workflows",
  "attributes": {
    "displayName": "Dataset Versioning Governance",
    "workflowKind": "governance",
    "triggerType": "continuous",
    "typicalCadence": "continuous",
    "complexity": "cross-team",
    "description": "Governs the versioning lifecycle of ML training and evaluation datasets —\nenforcing DVC or LakeFS versioning policies, validating that dataset\nlineage metadata tracks transformations and source provenance, auditing\nstorage deduplication, managing access controls per dataset sensitivity\ntier, and ensuring reproducibility by linking model artifacts to exact\ndataset versions. Excludes dataset creation and labeling.\n"
  },
  "outgoingEdges": [
    {
      "from": "workflow:dataset-versioning-governance",
      "to": "role:ml-engineer",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:dataset-versioning-governance",
      "to": "role:data-scientist",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:dataset-versioning-governance",
      "to": "role:platform-engineer",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:dataset-versioning-governance",
      "to": "skill-area:python-data-pipelines",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:dataset-versioning-governance",
      "to": "skill-area:ml-fine-tuning",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:dataset-versioning-governance",
      "to": "domain:data-science",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:dataset-versioning-governance",
      "to": "domain:ml-ops",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:dataset-versioning-governance",
      "to": "responsibility:data-quality-monitoring",
      "kind": "triggers_responsibility",
      "attributes": {}
    },
    {
      "from": "workflow:dataset-versioning-governance",
      "to": "responsibility:review-architecture-changes",
      "kind": "triggers_responsibility",
      "attributes": {}
    },
    {
      "from": "workflow:dataset-versioning-governance",
      "to": "org-unit:ml-platform-team",
      "kind": "performed_by_org_unit",
      "attributes": {}
    },
    {
      "from": "workflow:dataset-versioning-governance",
      "to": "org-unit:data-platform-team",
      "kind": "performed_by_org_unit",
      "attributes": {}
    }
  ],
  "incomingEdges": []
}