The Center for Network and Storage Enabled Collaborative Computational Science is hosting a symposium at the University of Michigan on May 18 and 19, exploring the themes the Center was founded on. The Center seeks to address the challenges of extracting scientific results collaboratively from large, distributed or diverse data.
Venue: School of Information, North Quad room 2435 105 S. State St. Ann Arbor, MI 48109-1285
The Challenge: Many scientific disciplines are rapidly increasing the size, variety and complexity of data they must work with. As the data grows, scientists are challenged to manage, share and analyze that data and become diverted from a focus on their scientific research to data-access and data-management concerns. Even more problematic is determining how to support many scientists sharing and accessing this ever increasing amount of data.
The Center is working to respond to those challenges broadly. Included in the Center is the NSF-funded OSiRIS project, a collaborative, multi-university venture led by MICDE faculty, and hosted by ARC-TS.
The following questions illustrate some of the focus areas the Center is seeking to address:
This symposium is intended to bring together those interested in these questions to share experiences and best practices, and to discuss both challenges and possible solutions that enable scientists to work together on “big, distributed or diverse data”.
Speakers will come from a wide range of research domains, as well as federal funding agencies:
We are looking forward to a rich program of presentations and discussions and hope you are able to participate.