The course is an introduction to the field of electrophysiology standards, infrastructure, and initiatives.
FAIR Approaches for Electrophysiology
Course Features
Lectures
Videos
Lessons of this Course
1
1
Duration:
8:11
Speaker:
This lecture discusses the FAIR principles as they apply to electrophysiology data and metadata, the building blocks for community tools and standards, platforms and grassroots initiatives, and the challenges therein.
2
2
Duration:
15:57
Speaker:
This lecture contains an overview of electrophysiology data reuse within the EBRAINS ecosystem.
3
3
Duration:
13:34
Speaker:
This lecture contains an overview of the Distributed Archives for Neurophysiology Data Integration (DANDI) archive, its ties to FAIR and open-source, integrations with other programs, and upcoming features.
4
4
Duration:
18:56
Speaker:
This lecture contains an overview of the Australian Electrophysiology Data Analytics Platform (AEDAPT), how it works, how to scale it, and how it fits into the FAIR ecosystem.
5
5
Duration:
15:51
Speaker:
This lecture discusses how to standardize electrophysiology data organization to move towards being more FAIR.
6
6
Duration:
12:56
Speaker:
This lecture contains an overview of the China-Cuba-Canada neuroinformatics ecosystem for Quantitative Tomographic EEG Analysis (qEEGt).
