data-versioning-manager

Solid

Skill for managing data versions and provenance

AI & Automation 1,160 stars 71 forks Updated today MIT

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Quality Score: 92/100

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Skill Content

# Data Versioning Manager Skill ## Purpose Manage data versions, track provenance, and ensure data lineage for reproducible scientific research. ## Capabilities - Version datasets - Track data lineage - Document transformations - Enable rollback - Support collaboration - Generate provenance ## Usage Guidelines 1. Initialize versioning 2. Track data changes 3. Document transformations 4. Create snapshots 5. Manage branches 6. Export provenance ## Process Integration Works within scientific discovery workflows for: - Data management - Reproducibility support - Collaboration enabling - Audit compliance ## Configuration - Version control system - Storage backends - Metadata schemas - Access controls ## Output Artifacts - Version histories - Provenance records - Transformation logs - Data snapshots

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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