http://www.pnl.gov/computing/technologies/sci_data_mgmt.stm Scientific Data Management en-us Wed, 11 May 2011 08:00:00 EST Wed, 11 May 2011 08:00:00 EST http://www.pnnl.gov/computing/rss/rss.xml Christine.Sharp@pnnl.gov (Christine Sharp) http://www.pnl.gov/science/staff/staff_info.asp?staff_num=7414 http://www.pnl.gov/computing/technologies/sci_data_mgmt.stm Kerstin Kleese van Dam presented the new Rapid EXperimental ANalysis (REXAN) Framework at Nobugs 2012 and Mathew Thomas presented the work at the 8th International IEEE e-Science Conference 2012. http://www.pnl.gov/science/staff/staff_info.asp?staff_num=7414 http://www.pnl.gov/computing/technologies/sci_data_mgmt.stm Todd Halter elected to Smart Grid Interoperability Panel (SGIP) Architecture Committee http://www.pnl.gov/science/staff/staff_info.asp?staff_num=7414 http://www.pnl.gov/computing/technologies/sci_data_mgmt.stm Paulo Pinheiro da Silva is the new PNNL representative in the Federation of Earth Science Information Partners (ESIPFed) http://www.esipfed.org/ http://www.pnl.gov/science/staff/staff_info.asp?staff_num=7414 http://www.pnl.gov/computing/technologies/sci_data_mgmt.stm Kerstin Kleese van Dam published a new book chapter on Challenges in Data Intensive Analytics at Scientific Experimental User Facilities. http://www.springer.com/computer/database+management+%26+information+retrieval/book/978-1-4614-1414-8 http://www.pnl.gov/science/staff/staff_info.asp?staff_num=7414 http://www.pnl.gov/computing/technologies/sci_data_mgmt.stm A Workshop on Parallel and Distributed Computing for Machine Learning and Inference Problems, May 25, 2012; Shanghai, China, In Conjunction with IPDPS 2012. https://researcher.ibm.com/researcher/view_project.php?id=2591 http://www.pnl.gov/science/staff/staff_info.asp?staff_num=7414 http://www.pnl.gov/computing/technologies/sci_data_mgmt.stm We are pleased to announce that Professor Valerio Pascucci has joined the PNNL Scientific Data Management Group in a joint appointment with the University of Utah's Scientific Computing and Imaging Institute. Valerio will be strengthening the groups data analysis and visualization efforts. http://www.pnl.gov/science/staff/staff_info.asp?staff_num=7414 http://www.pnl.gov/computing/technologies/sci_data_mgmt.stm A team lead by Professor Valerio Pascucci from University of Utah's world renown Scientific Computing and Imaging Institute visited the Scientific Data Management group on August 15th-16th to discuss collaborative efforts in the area of climate and chemical imaging analysis and visualization. (http://www.sci.utah.edu/) http://www.pnl.gov/science/staff/staff_info.asp?staff_num=7414 http://www.pnl.gov/computing/technologies/sci_data_mgmt.stm http://www.cityescapesphotography.com/critchlow/papers/SSDBM-2011.pdf The SDM group was well represented at the 23rd Scientific and Statistical Database Management Conference, held in Portland July 20-22. Kerstin participated in a panel on the future of Data Intensive Science, while Terence moderated that panel, and participated in a second panel on Data Policy, and Data Scientists. See Workflow Paper (http://www.cityescapesphotography.com/critchlow/papers/SSDBM-2011.pdf) http://www.pnl.gov/science/staff/staff_info.asp?staff_num=7414 http://www.pnl.gov/computing/technologies/sdm_news_archive.stm http://www.pnl.gov/computing/technologies/sdm_news_archive.stm The group focuses on integrated solution design, tightly embedded into the scientific research processes, working closely with computational and experimental researchers in climate science, earth science, chemistry, systems biology, high energy physics and energy, as well as the law enforcement and intelligence community. Next to research and development the group operates highly distributed, data management system services such as the Data Management Facility of the Atmospheric Radiation Measurement Climate Research facility for the past 25 years. http://www.pnl.gov/science/staff/staff_info.asp?staff_num=7414 http://www.pnl.gov/computing/staff/stfsrchresults.asp?id=858 http://www.pnl.gov/computing/staff/stfsrchresults.asp?id=858 Check out the PNNL Scientific Data Management Group which currently has 24 staff members engaged in the development of innovative solutions to enable effective research.