Need a fast, secure way to transfer or share large datasets? Join us to learn how to use Globus – a powerful tool that enables secure data sharing with collaborators across institutions.

With the rise of collaborative research, the need for efficient, reliable, and secure data sharing has grown immensely. However, challenges to accessing unpublished collaborator data include the technical challenge of moving large volumes of data, data compliance, identity management and access control permissions, especially when moving cross-institutionally. Researchers can streamline collaborations by using Globus to reduce this overhead.

This workshop provides an introduction to data sharing and data transfers via Globus (globus.org), a widely used cyberinfrastructure platform designed for research data management and transfer. Globus provides high-speed, reliably parallel transfers between institutions all while automatically handling network connectivity issues. Globus additionally leverages the identity management of research organizations, so you have confidence in the identities for which you have granted access to your data.  Globus is designed for handling large amounts (gigabytes, terabytes, petabytes) of data.

Globus functionality to be covered include:

• Transfers: executing a transfer. Includes scheduled transfers, transfer settings (such as syncing options), and activity monitoring and debugging
• Data Collections: gathering specific data to be shared with collaborators. Includes management of access permissions
• Globus Groups: organizing of identities into groups for various roles

While the focus will be on the web user interface, the command line interface and language SDKs will be highlighted as well.