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Scientific data, collected in various research domains are made accessible for significant analysis through portals by the means of eInfrastructures. Managing the outcome of these analyses in conjunction with its corresponding input data, by enriching its existing relationship with semantics to facilitate reuse of data is nowadays more important than ever. The work presented in this book focuses its effort on scientific dataspaces, which, if applied in eScience applications can provide a highly efficient and powerful scientific data preservation solution for eInfrastructures. The author's approach is to semantically enrich the existing relationship among primary and derived datasets and to preserve both, relationships and datasets together within a dataspace to be reused by owners and others. This approach is shown to significantly improve assisted publishing, discovery, and reuse of primary and derived data used in scientific studies. This book summarizes scientific contributions made by the author during his PhD study. Most of the research has been carried out in the context of realworld eScience applications.
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