Towards large-scale scientific dataspaces for e-science applications

Abstract

This work intends to provide a large-scale scientific data management solution based on the concepts of dataspaces for e-Science applications. Our approach is to semantically enrich the existing relationship among primary and derived data items, and to preserve both relationships and data together within a dataspace to be reused by owners and others. To enable reuse, data must be well preserved. Preservation of scientific data can best be established if the full life cycle of data is addressed. This is challenged by the e-Science life cycle ontology, whose major goal is to trace semantics about procedures in scientific experiments. jSpace, a first prototype of a scientific dataspace support platform is implemented and deployed to an early core of adopters in the breath gas research domain from which specific use cases are derived. In this paper we describe the architecture, discuss a specific prototype implementation and outline the design concepts of a second prototype. © 2010 Springer-Verlag Berlin Heidelberg.