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A presentation given on the IDEAS 2014 Conference about database modelling using triple stores for research data management.
IDEAS '14, July 07 - 09 2014, Porto, Portugal.
Most current research data management solutions rely on a fixed set of descriptors (e.g. Dublin Core Terms) for the description of the resources that they manage. While these are easy to understand and use, their semantics are limited to general concepts, leaving out domain-specific metadata and representing values as sets of text values. While this enables retrieval through free-text search, faceted search and dataset interlinking becomes limited. From the point of view of the relational database schema modeler, designing a more flexible metadata model represents a non-trivial challenge because of the open nature of the model. This work demonstrates the current approaches followed by current open-source platforms and propose a graph-based model for achieving modular, ontology-based metadata for interlinked data assets in the Semantic Web. This proposed model was implemented in a collaborative research data management platform currently under development at the University of Porto.