Algorithm Engineering for Large Data Sets Sanders, P. 2017. Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA). Ed.: C. Jung, 199–214, KIT Scientific Publishing
LSDMA-Driven Advances in Data Analysis Jejkal, T.; Schuller, B.; Grunzke, R. 2017. Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA). Ed.: C. Jung, 179–197, KIT Scientific Publishing
Long-term Access to Data, Communities, Developments and Infrastructure Van Wezel, J.; Bach, F.; Krauss, P.; Kurze, T.; Meyer, J.; Müller-Pfefferkorn, R.; Potthoff, J. 2017. Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA). Ed.: C. Jung, 125–140, KIT Scientific Publishing
Advances in Metadata Research by LSDMA Grunzke, R.; Müller-Pfefferkorn, R.; Schuller, B.; Kindermann, S.; Ehbrecht, C.; Jejkal, T.; Hartmann, V.; Prabhune, A.; Stotzka, R. 2017. Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA). Ed.: C. Jung, 109–124, KIT Scientific Publishing
Federated Storage Infrastructure for LSDMA Ertl, B.; Fuhrmann, P.; Hardt, M.; Millar, P.; Mkrtchan, T.; Schwank, K.; Sahakya, M.; Wegh, B. 2017. Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA). Ed.: C. Jung, 99–107, KIT Scientific Publishing
Managing Large Data Sets in Super-resolution Optical Microscopy Prabhune, A.; Kepper, N.; Aschenbrenner, K.; Butzek, S.; Guthier, C.; Krufczik, M.; Bach, M.; Schmitt, E.; Hausmann, M.; Hesser, J. 2017. Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA). Ed.: C. Jung, 41–59, KIT Scientific Publishing