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Understanding the FAIR Data Principles (Findable, Accessible, Interoperable, Reusable)
What does it really mean to make your research data FAIR? In this video, we break down the FAIR Data Principles — a global standard that helps researchers manage, share, and reuse data more effectively.

Whether you're writing a data management plan, preparing a dataset for publication, or collaborating across disciplines, understanding FAIR is essential.

🎓 Especially made for doctoral and postdoctoral researchers, this video will help you:
✅ Understand the core goals of FAIR: Findability, Accessibility, Interoperability, and Reusability
✅ Learn how FAIR supports open science, data reuse, and compliance
✅ Apply FAIR principles in your own research using real academic examples
✅ Discover practical steps and tools to implement FAIR in your project
✅ Avoid common pitfalls in data sharing and discoverability

Suitable for researchers in all disciplines — from biomedical and social sciences to engineering and environmental research.