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SciPort: An Adaptable Scientific Data Integration Platform for Collaborative Scientific Research

SciPort: An Adaptable Scientific Data Integration Platform for Collaborative Scientific Research,Fusheng Wang,Pierre-emmanuel Bourgue,Georg Hackenberg

SciPort: An Adaptable Scientific Data Integration Platform for Collaborative Scientific Research   (Citations: 1)
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Scientific data are posing new challenges to data manage- ment due to the large volume, complexity and heterogeneity of the data. Meanwhile, scientific collaboration becomes in- creasingly important, which relies on integrating and shar- ing data from distributed institutions. In this demo, we present SciPort, a Web-based platform on supporting sci- entific data management and integration based on peer-to- peer architectures, where researchers can easily collect, pub- lish, and share their complex scientific data across multi- institutions. SciPort provides a general metadata based data model to capture the context description of experiments and link experiment data into comprehensive metadata docu- ments, and supports a hierarchical organization of the over- all data space for data browsing. SciPort takes two alterna- tive "peer"-to-"peer" ( or peer-database-to-peer-database) based approaches to integrate scientific data: pure peer-to- peer architecture and central server based peer-to-peer ar- chitecture. The later provides a virtual view of all published data from multiple local sites and supports complex queries with XQuery. The system provides a unified framework for adaptable architectures and customizable schemas, and sup- plies comprehensive tool set to manage and share scientific data. SciPort was first prototyped in Siemens Corporate Research, and now becomes a mature product and has been successfully used in both biomedical research and clinical trials for scientific research communities.
Conference: Very Large Data Bases - VLDB , pp. 1310-1313, 2007
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