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Impact of Data Sharing
Course:
The Future of Medical Data Sharing in Clinical Neurosciences

This presentation discusses the impact of data sharing in stroke.

Difficulty level: Intermediate
Duration: 16:33
Speaker: : Valeria Caso
Why federating data in stroke?
Course:
The Future of Medical Data Sharing in Clinical Neurosciences

This talks presents an overview of the potential for data federation in stroke research.

Difficulty level: Intermediate
Duration: 21:37
Speaker: : Maurizio A. Leone
Scientific Workflows
Course:
INCF Short Course: Introduction to Neuroinformatics

This lecture describes how to build research workflows, including a demonstrate using DataJoint Elements to build data pipelines.

Difficulty level: Intermediate
Duration: 47:00
Speaker: : Dimitri Yatsenko
Considerations and Challenges for FAIR in Large and Heteregeneous Sets of Personalized Large-Scale Models
Course:
FAIR Approaches for Computational Neuroscience

This lecture discusses how FAIR practices affect personalized data models, including workflows, challenges, and how to improve these practices.

Difficulty level: Beginner
Duration: 13:16
Speaker: : Kelly Shen
Do We Have the Tools and Resources to Develop FAIR Large-Scale Brain Circuit Models?
Course:
FAIR Approaches for Computational Neuroscience

This lecture covers how to make modeling workflows FAIR by working through a practical example, dissecting the steps within the workflow, and detailing the tools and resources used at each step.

Difficulty level: Beginner
Duration: 15:14
Speaker: : Salvador Dura-Bernal

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