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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.



  • 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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  • Evaluating Power-Performace Benefits of Data Compression in HPC Storage Servers (Konstantinos Chasapis, Manuel Dolz, Michael Kuhn, Thomas Ludwig), In ENERGY 2014: The Fourth International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies, pp. 29–34, (Editors: Steffen Fries, Petre Dini), IARIA XPS Press, ENERGY 2014, Chamonix, France, ISBN: 978-1-61208-332-2, ISSN: 2308-412X, 2014-04-20 – Awards: Best Paper
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