This course is part of the first session of talks from INCF’s Neuroinformatics Assembly 2024. The session includes several lectures, with a focus on the principles of FAIR (findability, accessibility, interoperability, and reusability).
Session 1: FAIR neuroscience
Course Features
Lectures
Videos
Lessons of this Course
1
1
Duration:
11:43
Speaker:
This lesson provides an introduction the International Neuroinformatics Coordinating Facility (INCF), its mission towards FAIR neuroscience, and future directions.
2
2
Duration:
48:16
Speaker:
Fairly detailed Making "big" data resources accessible via brain atlases, presentation by Timo Dickscheid at the INCF Neuroinformatics Assembly 2024
3
3
Duration:
11:47
Speaker:
International Brain Data Governance Frameworks: facilitating global research, presentation by Kim Ray at the INCF Neuroinformatics Assembly 2024
4
4
Duration:
11:29
Speaker:
Facilitating standardization and sharing of neurophysiology data presented by Ben Dichter, CatalystNeuro at the INCF Neuroinformatics Assembly 2024
5
5
Duration:
12:41
Speaker:
Enhancing the findability, accessibility, interoperability, and reusability of neuroscience data using the openMINDS metadata framework presented by Andrew P. Davison, Paris-Saclay Institute of Neuroscience, CNRS, Université Paris-Saclay at the INCF Neuroinformatics Assembly 2024
6
7
Duration:
15:35
Speaker:
Establishing an early indicator for data sharing and reuse presented by Anita Bandrowski, SciCrunch Inc. at the INCF Neuroinformatics Assembly 2024
7
8
Duration:
10:57
Speaker:
NIDM-Experiment: Annotation of Neuroscientific Data and the FAIR Principles presented by Karl Helmer, Massachusetts General Hospital at the INCF Neuroinformatics Assembly 2024
