Learning Path

Data Curation

Introduction to Data Curation → Capstone: Building a Curation Plan

16 Knowledge Nodes · 16 Learning Steps · v0 Active

This advanced graduate-level learning path equips data curators with the knowledge and skills to manage research data throughout its lifecycle, ensuring quality, preservation, and reusability. It covers foundational data concepts, the curation lifecycle, metadata, quality assessment, FAIR principles, preservation strategies, and practical curation tools.

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Learning Route

16 learning steps · 4 phases. Click any step to inspect it and see it on the Knowledge Map.

Phase 1

Foundation

4 steps

Phase 2

Core Concepts

4 steps

Phase 3

Advanced Topics

4 steps

Phase 4

Specialization

4 steps