Vas Vasiliadis
Chief Customer Officer, Globus
University of Chicago
A growing number of research activities require large-scale data management. In particular, high resolution imaging instruments such as cryogenic electron microscopes and synchrotron beamlines require automation of data flows to increase throughput and researcher productivity, as well as to ensure the instrument remains highly utilized. Combined with the increasingly collaborative nature of research, this necessitates infrastructure that makes the resulting data products more FAIR (findable, accessible, interoperable and reusable). The Globus team at the University of Chicago and Argonne National Laboratory have worked with many institutions to build solutions for automating instrument data management, from the point of capture through publication and re-use. The session will present scenarios from research universities and national facilities that illustrate implementation of common use cases and describe how they were enabled by the Globus platform.