data-versioning-manager

name	data-versioning-manager
description	Skill for managing data versions and provenance
allowed-tools	["Bash","Read","Write"]
metadata	{"specialization":"scientific-discovery","domain":"science","category":"Reproducibility","skill-id":"SK-SCIDISC-025"}
graph	{"domains":["domain:scientific-discovery"],"specializations":["specialization:scientific-research-methods"],"skillAreas":["skill-area:data-analysis","skill-area:statistical-analysis","skill-area:deep-web-research"],"workflows":["workflow:experiment-design","workflow:peer-review-cycle"],"roles":["role:research-engineer","role:computational-scientist"]}

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