We're presenting a series of Globus tutorials and developer workshops across the US, building on the success of the workshop held at GlobusWorld 2016. These workshops are made possible by the various hosting institutions that generously provide meeting space and other financial support.
The following workshops are currently scheduled:
If you would like to host a workshop at your institution please contact us.
Motivation: New high-speed networks make it possible, in principle, to transfer and share research data at tremendous speeds and scales–but have also proved challenging to use in practice. Two new technologies now allow us to translate this potential into reality: Science DMZ architectures provide frictionless end-to-end network paths; and Globus APIs allow programmers to create powerful research data portals that leverage these paths for data distribution, staging, synchronization, and other useful purposes.
High-speed networks, science DMZs, and Globus APIs together create a new research data platform on which you can create entirely new classes of scientific application. These workshops will provide all of the the information that you need to imagine and create modern research data portals that leverage this platform to advance discovery.
Benefits: We will use real-world examples to show how these new technologies can be applied to realize immediately useful capabilities. Examples include the National Center for Atmospheric Research’s Research Data Archive, which provides for high-speed delivery of research data to thousands of geoscientists; the Globus data portal, which provides for interactive data staging to/from experimental facilities and computing centres, and the publication of data generated at such facilities and centres; and the Advanced Photon Source data sharing system, used to distribute data from light source experiments.
Workshop particpants will see how the Globus APIs provide intuitive access to authentication, authorization, sharing, transfer, and synchronization capabilities. Companion iPython/Jupyter notebooks will provide application skeletons that participants can adapt to realize their own research data portals, science gateways, and other web applications that support research data workflows.