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Data Storage Best Practices for Life Science Workflows

Ilkay Altintas, Director for the Center of Excellence in Workflows for Data Science at SDSC

Ilkay Altintas, Director for the Center of Excellence in Workflows for Data Science at SDSC

In this video, Ilkay Altintas, Chief Data Science Officer at SDSC presents: Data Storage Best Practices for Life Science Workflows with HGST & Advanced HPC.

“Unchecked data growth and data sprawl are having a profound impact on life science workflows. As data volumes continue to grow, researchers and IT leaders face increasingly difficult decisions about how to manage this data yet keep the storage budget in check. Learn how these challenges can be overcome through active data management and leveraging cloud technology. The concepts will be applied to an example architecture that supports both genomic and bioimaging workflows.”

Ilkay Altintas is the Director for the Center of Excellence in Workflows for Data Science at the San Diego Supercomputer Center (SDSC), UCSD. Since joining SDSC in 2001, she has worked on different aspects of scientific workflows as a principal investigator and in other leadership roles across a wide range of cross-disciplinary NSF, DOE, NIH and Moore Foundation projects. She is a co-initiator of and an active contributor to the open-source Kepler Scientific Workflow System, and the co-author of publications related to eScience at the intersection of scientific workflows, provenance, distributed computing, bioinformatics, observatory systems, conceptual data querying, and software modeling. Ilkay Altintas received her Ph.D. degree from the University of Amsterdam in the Netherlands with an emphasis on provenance of workflow-driven collaborative science and she is currently an assistant research scientist at UCSD.

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