Abstract

We present an information resource prototype that was developed by the FREYA project for the integration of a national e-thesis service and institutional repositories supported by a large national laboratory. The integration allows us to mutually enrich the metadata in the e-thesis service and institutional repositories with new entities and attributes, and can offer novel ways of reasoning over research outcomes that are supported by direct funding and funding-in-kind by large research facilities. The integrated information resource can be presented as a labeled-property graph for its exploration with a declarative query language and visualizations. We emphasize the role of persistent identifiers (PIDs), including for entities that are currently not necessarily or not consistently assigned PIDs.

Highlights

  • A national e-thesis service and repository supported by national laboratories present different parts of the repository spectrum

  • As part of its contribution to the FREYA project [2], the British Library has worked with the Science and Technology Facilities Council (STFC) to link the EThOS metadata with that in STFC repositories

  • With respect to the gap analysis use case, the records matching exercise performed highlighted empty in EThOS but STFC or Diamond Light Source were not mentioned as research sponsors, over four hundred records in the EThOS repository with empty “Sponsor” metadata where STFC sponsored the PhD research via monetary funding or via grants-in-kind by offering research time for experiments on large research facilities

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Summary

Introduction

A national e-thesis service and repository supported by national laboratories present different parts of the repository spectrum. Experiments on Student entities would be laborious and could not be performed with the limited resources we large-scale facilities quite often have persistent identifiers associated with them; this practice justhad. The information resource that properly reflects this operational environment with all its dependencies will be a commonly-built and commonly-used knowledge graph enriched with PIDs to dependencies will be a commonly-built and commonly-used knowledge graph enriched with PIDs enable consistent and easy matching and interoperability between entities. Building such an integrated to enable consistent and easy matching and interoperability between entities. In this paper, along with the benefits of the integrated resource use

Metadata Sources and Methods of Their Integration
Features of the Resultant Graph
Applications
Entity Disambiguation
Records Enrichment
Developing Machine Interfaces
Other Use Cases
Findings
Future Plans
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