In mid-2022, CAM (Centre for Advanced Microscopy) successfully addressed the challenges of provisioning computing power, network capacity and storage volume for CAM’s newly installed suite of cryo-electron microscopes and their cryo-microscopy capabilities. This unlocks supercomputing and cloud computing capabilities at CAM to support researchers and staff with advanced cryo-EM workflows and data processing pipelines. Simultaneously, CAM also has been equipped with NCI’s virtual desktop service, called “Australian Research Environment” (ARE), as a dedicated virtual characterisation laboratory for advanced CAM users to achieve research goals and excellence. In this chat, we would like to share the experience in setting up the cryo-EM workflows in a complex heterogenous computing environment, including ARE as part of the data pipelines, at CAM, ANU Data Centre and NCI Australia.
Chung-Han Tsai is the Data and Analytics Engineer at the Centre for Advanced Microscopy (CAM) at Australian National University. He develops data processing pipelines and administrates research computing infrastructure to support researchers and staff with computational capabilities at CAM. He also has devoted himself to best practices of data engineering for research data of microscopy. He received his professional electronics engineering degree from Queen’s University, Canada.
This webinar is part of a series that that will explore the guiding principles of research data management, research data management tools, and how users and facilities can make their research data more FAIR (Findable, Accessible, Interoperable, Reusable). It occurs every two months and is hosted by Dr David Poger. Please direct any questions to david.poger@micro.org.au
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