This work focuses its effort on large-scale dataspaces and workflow management, two complementary technologies, which, if applied in conjunction, can provide a highly efficient and powerful scientific data management solution for e-Infrastructures. Key contributions are: (1) a hierarchical and iterative model providing a life cycle view of scientific data showing what ideally should happen to data in e-Infrastructures while they are processed is presented generally and by the means of one pilot application. (2) The key dataspace paradigm managing relationships among participants is considered in order to explicitly support the existing relationship among primary and derived data in scientific collaborations. (3) An integrated workflow driven approach aiming to ease the process of publishing derived data within the dataspace is presented.

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