Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
eSciDoc infrastructure: a fedora-based e-Research framework
ECDL'09 Proceedings of the 13th European conference on Research and advanced technology for digital libraries
A node indexing scheme for web entity retrieval
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part II
Ontological formalization of scientific experiments based on core scientific metadata model
TPDL'12 Proceedings of the Second international conference on Theory and Practice of Digital Libraries
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While researchers are primarily concerned with the output of their investigations, there is an increased focus on the datasets produced in investigations and their reusability. This work is focused on describing a technical scenario of scientific data management starting with the live data capture taking place in the investigation environment, followed by modeling and annotating of the raw data, data curation tools and finally publication of the datasets in a repository adhering to Linked Data principles. The solution is based on the eSciDoc platform but the process, the data formalization and other findings can be reused in any Virtual Research Environment (VRE) to achieve the same outcome. Special effort of the work is dedicated to the flexibility and quality of the data focusing on the preparation of the data for publication and provision of contextual information.