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Webinar: Data Data Data!

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cyclic itters ethernet industrial protocol ip performance test tool

When

Sept. 24, 2021, 11 a.m.

Where

Webinar Videorecording

Answers to Some Webinar Questions

Q: Is Globus available in the DE?

No, Globus is not available in CyVerse at this time.

Q: Is it possible to use/integrate a custom metadata template in the Data Store?

The ability to upload/integrate your own custom metadata template is not yet available. You can submit a support request for CyVerse staff to integrate a custom metadata template for you.

Q. Where can I find information on costs for storage above 5 GB?

You can find storage cost information here and here.

 

About the Webinar

Data is the currency through which scientists and researchers explore the questions that drive modern science. And the Data Store is the backbone that supports everything you can do in CyVerse. It offers secure storage for all your data and is accessible from anywhere on the CyVerse platform. Towards our mission of enabling collaborative Open Science, CyVerse post-doctoral scientist Michael Culshaw-Maurer will guide us through the key services, new features, and robust capabilities of the CyVerse Data Store that enable you to manage your data from upload to making your data public for reuse by the community.

What You'll Learn

  • How to use CyVerse features to make your data more FAIR and Open Science-friendly

  • How to find and access your data from wherever you are in the the Discovery Environment
  • How to manage access permissions for your data in CyVerse

About the Presenter

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Michael Culshaw-Maurer

Michael Culshaw-Maurer is a post-doctoral researcher with shared appointments at CyVerse and The Carpentries. A behavioral ecologist by training, he received his PhD in ecology from UC Davis. As part of our Science and Training team, Michael is working to improve our training resources from documentation and tutorials to workshop curricula. He is a hobbyist photographer when not coding at his computer.

 

 

 

 

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An Open Science Workspace for Collaborative Data-driven Discovery