The Helmholtz Association funded the “Large-Scale Data Management and Analysis” portfolio theme from 2012-2016. Four Helmholtz centres, six universities and another research institution in Germany joined to enable data-intensive science by optimising data life cycles in selected scientific communities. In our Data Life cycle Labs, data experts performed joint R&D together with scientific communities. The Data Services Integration Team focused on generic solutions applied by several communities.

@inbook{PAPOKCKMSN17,
	author	 = {Michael Kuhn and Konstantinos Chasapis and Manuela Kuhn and Janusz Malka and Thomas Stibor and Gvozden Nešković},
	title	 = {{Performance and Power Optimization}},
	year	 = {2017},
	booktitle	 = {{Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA)}},
	publisher	 = {KIT Scientific Publishing},
	address	 = {Karlsruhe, Germany},
	pages	 = {141--160},
	isbn	 = {978-3-7315-0695-9},
	doi	 = {https://doi.org/10.5445/KSP/1000071931},
	abstract	 = {The Helmholtz Association funded the "Large-Scale Data Management and Analysis" portfolio theme from 2012-2016. Four Helmholtz centres, six universities and another research institution in Germany joined to enable data-intensive science by optimising data life cycles in selected scientific communities. In our Data Life cycle Labs, data experts performed joint R\&D together with scientific communities. The Data Services Integration Team focused on generic solutions applied by several communities.},
	url	 = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000071931},
}