research:projects:lsdma:start

LSDMA

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General Information

Today, data are collected and recorded at an increasing rate. In Science, data are a valuable good which can be reproduced at a high cost only or not at all. Data exploration represents the 4th pillar of modern science besides experiment, theory and simulation.

“Large-Scale Data Management and Analysis” (LSDMA) extends the data services for research of the Helmholtz Association of research centres in Germany with community specific Data Life Cycle Laboratories (DLCL). The DLCLs work in close cooperation with scientists and they process, manage and analyse data during its whole life cycle. The joint research and development activities in the DLCLs lead to community-specific tools and mechanisms. The DLCLs are complemented with a Data Services Integration Team (DSIT). It provides generic technologies and infrastructures for multi-community use, based on research and development in the areas of data management, data access and security, storage technologies and data preservation.

Results

Publications

  • Performance and Power Optimization (Michael Kuhn, Konstantinos Chasapis, Manuela Kuhn, Janusz Malka, Thomas Stibor, Gvozden Nešković), In Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA) (Christopher Jung, Jörg Meyer, Achim Streit), pp. 141–160, KIT Scientific Publishing (Karlsruhe, Germany), ISBN: 978-3-7315-0695-9, 2017
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People from WR

research/projects/lsdma/start.txt · Last modified: 2018-05-09 17:25 (external edit)