Lecture, Presentation, Training materials
Introduction to FAIR Principles
This session, delivered by Martijn Kersloot (Amsterdam University Medical Center), provides a high-level introduction to the FAIR (Findable, Accessible, Interoperable, Reusable) Principles.
It explains what FAIR means, why it matters for research data, and how the principles are increasingly expected in European-funded research projects. The material is intended for participants with little or no prior knowledge of FAIR and serves as an entry point to more detailed and technical FAIR-related training.
DOI: https://doi.org/10.5281/zenodo.14234493
Licence: Creative Commons Attribution 4.0 International
Keywords: Data reuse, Data sharing, European research projects, FAIR principles, HemaFAIR, Metadata, Open Science, Research Data Management
Target audience: Researchers, Data Scientist, Data stewards, Data managers, Students
Resource type: Lecture, Presentation, Training materials
Version: 1
Status: Active
Prerequisites:
No prerequisites. This material is intended as a first introduction to the FAIR principles.
Learning objectives:
-Explain what the FAIR (Findable, Accessible, Interoperable, Reusable) Principles are
-Describe why the FAIR principles are important for research data
-Recognise how FAIR principles relate to current expectations in European-funded research projects
-Identify FAIR as a foundation for further, more technical training on research data management
Date published: 2024-03-28
Contributors: Ronald Cornet
Scientific topics: FAIR data, Data management, Open science
Activity log
