The FAIR Data Principles
The FAIR Data Principles
This lecture gives an introduction to the FAIR (findability, accessibility, interoperability, and reusability) science principles and examples of their application in neuroscience research.
Topics covered in this lesson
- History leading to the FAIR Principles
- Why the FAIR Principles are needed
- Overview of the FAIR Principles
- Examples of neuroimaging standards and best practices that support the FAIR Principles
- Examples of standards and best practices from other disciplines that support the FAIR Principles
- INCF standards and best practices endorsement process
External Links
Back to the course