User Stories

  • Globus Auth and the S3 Connector with XSEDE Jetstream

    Texas A&M, Louisiana State University, San Diego Supercomputing Center

    The XSEDE community and the Jetstream cloud service provider are using Globus Auth to simplify and streamline user authentication and add support for identity linking: especially campus credentials. Jetstream also offers object storage that’s compatible with Amazon Web Services’ Simple Storage Service (S3), and researchers can easily and reliably move research datasets into and out of Jetstream’s object storage using the Globus S3 storage connector.

  • Molecular Data in Google Drive

    University of Chicago, Argonne National Laboratory

    A group in Japan needed to share a set of 221M molecular calculations, clocking in at 830GB, with collaborators at UC/ANL. This dataset represents the largest compilation of molecular calculations to date, with a broad set of machine learning opportunities ranging from drug discovery to identification of novel molecules for organic electronics. By using the Globus for Google Drive connector, they were able to easily make the data available in Google Drive via fire-and-forget transfer -- they estimate this method was at least 10x faster than any other means of sharing the data.

  • Cornell Biotech Data Lifecycle Management, Onsite and in Amazon S3


    Globus facilitates file transfer for data lifecycle management, from generation to analysis platforms to archive. We use Globus to share data with users of our facility, both from our centrally managed bioinformatics infrastructure or investigator’s own machines. We also use Amazon S3 endpoints to move data for archival storage; once in S3, lifecycle rules move the data to Amazon Glacier.

  • DLHub: Supporting Machine Learning in Materials Science

    University of Chicago, Argonne National Laboratory

    The Data and Learning Hub for Science (DLHub) serves as an automated facilitator and interconnection point for ML models and associated data transformation and analysis tools. It allows researchers to describe and publish such tools in ways that support discovery and reuse; run published tools over the network (with tools executed on a scalable hosted infrastructure); and link models, other tools, and data sources into complete ML/AI pipelines that can themselves be published, discovered, and run. DLHub relies on Globus services for data management.

Other Pages

  • Globus Connect

    Connect many different storage types to transfer and share data

  • Globus Transfer service

    Research applications often require sophisticated data management capabilities, for example to move large amounts of data between acquisition, storage, analysis and archival. However, doing so efficiently and reliably is often...