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events-article-5.html
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<!doctype html>
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<title>NeuroHub | News</title>
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<h2>NeuroHub Training Session</h2>
<iframe width="100%" height="315" src="https://www.youtube.com/embed/1WWXQITZFXo" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
<caption><strong><em>Watch the recording from Nov 17 2020</em></strong></caption><br><br>
<p>Fundamentals of the NeuroHub Platform<br>
Speakers: The NeuroHub Team<br>
Date: November 17, 2020 @ 1:30 PM – 4:30 PM EST<br><br>
Location: ONLINE - <strong>zoom link</strong> will be provided to registered attendees 1 day before the event<br><br>
Free event: Open to faculty, staff and students from McGill University, and all members of the Healthy Brains, Healthy Lives community
</p>
<p><strong>Summary</strong>: In this workshop, participants will gain hands-on, interactive experience with the fundamental components of NeuroHub through a series of practical exercises on your own computer. Participants will work both individually and in groups during the workshop.</p>
<p>The topics that will be covered in this first training session will include the following:</p>
<ol>
<li><span>Introduction and Overview of NeuroHub and associated components</span>
<ul>
<li>The NeuroHub UI and Dashboard</li>
</ul>
</li>
<li><span>Projects and Data Handling in NeuroHub</span>
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<li>Data Input / Output</li>
<li>Data Sharing</li>
</ul>
</li>
<li><span>Task Launching in NeuroHub</span>
<ul>
<li>data and application selection</li>
<li>task monitoring</li>
<li>accessing data results</li>
</ul>
</li>
</ol>
<p>By completing this training workshop, participants will be able to continue their exploration of more advanced concepts and elements of NeuroHub to be covered in future workshops.</p>
<p><strong>About:</strong> NeuroHub is an open platform that offers tools for efficient, collaborative and reproducible science in neuroinformatics, genomics, social sciences, biology and more. NeuroHub gives users access to streamlined systems for secure storage and sharing of multi- disciplinary data and powerful computational tools for data processing.
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