Introduction to FAIR neuroscience
Introduction to FAIR neuroscience
Purpose of the study track
This study track is intended for those with a neuroscience background looking to gain a basic understanding of how to implement the FAIR Guiding Principles in their research.
5 course/s in this Study track
Please click below to view all the courses
Courses
1
Since their introduction in 2016, the FAIR data principles have gained increasing recognition and adoption in global neuroscience. FAIR defines a…
2
Standards and best practices make neuroscience a data-centric discipline and are key for integrating diverse data and for developing a robust,…
3
As models in neuroscience have become increasingly complex, it has become more difficult to share all aspects of models and model analysis,…
4
Over the last three decades, neuroimaging research has seen large strides in the scale, diversity, and complexity of studies, the open…
5
The course is an introduction to the field of electrophysiology standards, infrastructure, and initiatives.
- Introduction to FAIR…