Globus Endpoints and Collections

Globus refers to the places that data are stored (such as your computer, Quest, RDSS, the cloud) as endpoints. Data stored on these endpoints are organized in collections. The terms endpoint and collection are used somewhat interchangeably, however one endpoint can host many different collections. You will need to setup and configure each endpoint that you want to use with Globus.

Personal Endpoints

Personal endpoints allow you to transfer data to and from your laptop or workstation. To use a personal endpoint, install and configure Globus Connect Personal on your computer.

Note: By default, Globus will allow transfer access to the home directory on your computer. See the Configuration section (Mac, Linux, Windows) of the Globus Personal endpoint documentation for more information on how to adjust the folders that Globus can see on your computer. 

Northwestern Managed Endpoints

Northwestern University provides Globus endpoints on Quest, RDSS, OneDrive and AWS S3. You must activate these endpoints before you can use them.

Select an endpoint for more information on how to use it. 

Shared Collections

Your collaborators, especially those outside of Northwestern University,  may not have access to all of the locations that you store your data, including data on Northwestern managed endpoints. Globus allows you to grant read and/or write access to collections to any Globus user, even if they do not have a Northwestern NetID. Additionally, you can create shared collections on managed endpoints to avoid having to reauthenticate after the activation expires. This feature is especially useful in automated workflows.

See Globus's How to Share Data Using Globus documentation for more information.

Need Help?

Contact globus-help@northwestern.edu for help with using Globus endpoints and collections.

Research Data Management Support at Northwestern University

Research computing data services partners with the Office for Research, University Libraries and Galter Health Sciences Library to provide research data management support throughout the research process. Please see the Research Data Management and Sharing page for more information

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Article ID: 1970
Created
Thu 10/6/22 2:40 PM
Modified
Fri 10/6/23 12:57 PM

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