  In many sciences the increasing amounts of data are reaching the limit of
established data handling and processing. With four large research centers of
the German Helmholtz association the Large Scale Data Management and Analysis
(LSDMA) project supports an initial set of scientific projects, initiatives and
instruments to organize and efficiently analyze the increasing amount of data
produced in modern science. LSDMA bridges the gap between data production and
data analysis using a novel approach by combining specific community support
and generic, cross community development. In the Data Life Cycle Labs (DLCL)
experts from the data domain work closely with scientific groups of selected
research domains in joint R&D where community-specific data life cycles are
iteratively optimized, data and meta-data formats are defined and standardized,
simple access and use is established as well as data and scientific insights
are preserved in long-term and open accessible archives.
