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Managing data exchange in scientific workflow simulations is a challenge for which existing solutions have only limited success. Basing on a data-model approach we developed a service-oriented, platform-and language-independent framework which provides seamless access for heterogeneous applications to data storage resources distributed over grids and clouds. After implementing a working prototype of the framework we demonstrated its benefits for a complex workflow application from the domain ofdoi:10.1016/j.procs.2013.05.274 fatcat:rbclfo6t6fh2dkmko2uva33o54