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SURA Hosted Call In Event With Dr. Birali Runesha of the University of Chicago, November 29, 2012, 11:00am ET

The call information is as follows:

    US:  866-939-8416

    International: 678-302-3534

    Participant Code: 5706082

Our speaker will be Director of Research Computing at the University of Chicago, Dr. Birali Runesha who provides leadership and vision for advancing all aspects of research computing strategies at the University of Chicago. Dr. Runesha has more than 17 years of experience in high-performance computing and scientific software development. He earned his MS and PhD in civil engineering at Old Dominion University. Prior to joining the University of Chicago, he served as Director of Scientific Computing and Applications at the University of Minnesota Supercomputing Institute, managing the scientific computing, biological computing, and visualization and application development groups. Prior to joining the University of Minnesota, he was a research scholar at the Hong Kong University of Science and Technology developing parallel computing algorithms for engineering applications, a research associate for the Multidisciplinary Parallel-Vector Computer Center at Old Dominion University and an assistant professor at the University of Kinshasa.

Dr. Runesha’s topic will be research data management issues and an upcoming NSF Sponsored workshop on research data management implementation. The deluge of data generated from experiments, observations and simulations creates many challenges for researchers. Adequate data management implementations are becoming critical due to the need to not only collect and analyze large volumes of raw data, but also to store and curate that data in ways that facilitate its retrieval and analysis in future studies. Establishing and efficiently executing these data management processes can demand substantial time and resources that most researchers do not have or cannot easily acquire. Researchers need turn-key (but customizable) solutions and community accepted practices to solve their data management problems. 

Feel free to invite others from your institution to the call or other colleagues who have an interest in learning more about research data managent.

 

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