TY  - JOUR
AU  - Fischer, M.
AU  - Gasthuber, M.
AU  - Giesler, A.
AU  - Hardt, M.
AU  - Meyer, J.
AU  - Prabhune, A.
AU  - Rigoll, F.
AU  - Schwarz, K.
AU  - Streit, A.
TI  - Advancing data management and analysis in different scientific disciplines
JO  - Journal of physics / Conference Series
VL  - 898
SN  - 1742-6596
CY  - Bristol
PB  - IOP Publ.
M1  - FZJ-2017-08570
SP  - 082026
PY  - 2017
AB  - Over the past several years, rapid growth of data has affected many fields of science. This has often resulted in the need for overhauling or exchanging the tools and approaches in the disciplines' data life cycles. However, this allows the application of new data analysis methods and facilitates improved data sharing.The project Large-Scale Data Management and Analysis (LSDMA) of the German Helmholtz Association has been addressing both specific and generic requirements in its data life cycle successfully since 2012. Its data scientists work together with researchers from the fields such as climatology, energy and neuroscience to improve the community-specific data life cycles, in several cases even all stages of the data life cycle, i.e. from data acquisition to data archival. LSDMA scientists also study methods and tools that are of importance to many communities, e.g. data repositories and authentication and authorization infrastructure.
T2  - 22nd International Conference on Computing in High Energy and Nuclear Physics
CY  - , San Francisco (USA)
M2  - San Francisco, USA
LB  - PUB:(DE-HGF)16
DO  - DOI:10.1088/1742-6596/898/8/082026
UR  - https://juser.fz-juelich.de/record/841526
ER  -