Webinar: Automating Research Data Management at Scale with Globus
Wednesday, September 9, 2020
Presented by Vas Vasiliadis and Greg Nawrocki, University of Chicago - Globus Team members
Research computing facilities, such as the national supercomputing centers, and shared instruments, such as cryo electron microscopes and advanced light sources, are generating large volumes of data daily. These growing data volumes make it challenging for researchers to perform what should be mundane tasks: move data reliably, describe data for subsequent discovery, and make data accessible to geographically distributed collaborators. Most employ some set of ad hoc methods, which are not scalable, and it is clear that some level of automation is required for these tasks.
Globus is an established service from the University of Chicago that is widely used for managing research data in national laboratories, campus computing centers, and HPC facilities. While its intuitive web app addresses simple file transfer and sharing scenarios, automation at scale requires integrating Globus data management platform services into custom science gateways, data portals and other web applications in service of research. Such applications should enable automated ingest of data from diverse sources, launching of analysis runs on diverse computing resources, extraction and addition of metadata for creating search indexes, assignment of persistent identifiers faceted search for rapid data discovery, and point-and-click downloading of datasets by authorized users — all protected by an authentication and authorization substrate that allows the implementation of flexible data access policies for both metadata and data alike.
We will describe current and emerging Globus services that facilitate these automated data flows while ensuring a streamlined user experience. We will also demonstrate Petreldata.net, a data management portal and gateway to multiple computing resources, that supports large-scale research at the Advanced Photon Source.