Webinar: Get Started with CyVerse

Computational Resources You Need to Get Started!

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CyVerse Learning banner

When

10 – 10:30 a.m., Sept. 6, 2024

Webinar videorecording

 

About the webinar

Got your hypothesis? Check. Collected data? Check. Got research cyberinfrastructure to store and analyze your data and share it with your collaborators? With CyVerse--absolutely! 

So now what? In our Get Started series, Research Data Scientists Michele Cosi and Jeff Gillan help you get started on your open science journey using your CyVerse account and the plentiful computational resources that come with it, covering key tasks like data transfers, finding apps, and launching and running apps. In this webinar, they cover the basics with a short focus on how to effectively manage your storage and compute resources and where to find information when you need help.

This "Get Started" webinar will be repeated in part during the semester, but subsequent webinars will emphasize different features, as listed below: 


September 20: Get Started + Finding and Using VICE apps and CloudShell

October 11: Get Started + Using GoCommands to move data

November 1: Get Started + Sharing Data, Permissions, & Teams

November 15: Get Started + Basic Troubleshooting for Analysis Errors



What you'll learn

  • Where to get your free account and what important info you can find on the CyVerse dashboard
  • How to move data using the Discovery Environment GUI
  • How to find and launch executable apps
  • How to share 
  • Where to find help 

     

About the presenters

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Michele Cosi is a Research Data Scientist at the UArizona's Data Science Institute. His experience and expertise in teaching and training researchers and students in data science tools and practices include serving as an instructor of CyVerse Foundational Open Science Skills (cyverse.org/foss), at CompBio Asia, and UA Data Lab workshops. His research interests are in genomics and phenomics, with a focus on workflow development, automation and data extraction. 

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Jeff Gillan is also a Research Data Scientist for the UArizona's Data Science Institute, where he offers workshops on geospatial data analysis and drone data management, as well as teaching the FOSS workshops. Jeff's expertise is in developing aerial photography and machine learning processing pipelines on high computation cloud resources such Jetstream2. He arrived at CyVerse in 2022 where his role was to expand the knowledge-base and accessibility of drone imagery tools while promoting the principles of open science.

 

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