Linked Open Usable Data Dumps

Maximizing reusability of linked open data dumps for a multitude of research audiences

Abstract

This publication introduces Linked Open Usable Data Dumps (LOUD Dumps), a way of deploying linked open data dumps with additional metadata, a consistent semantically enriched HTML deployment, and additional derived data exports provided using static APIs. We describe the need for this form of publication as a research data deployment, describe the exact contents of a LOUD Dump and show an implementation using the SPARQL Unicorn Ontology Documentation Script that can produce the data dump we suggest. Finally, we provide example use cases, set the work in the context of a research data management workflow, and conclude the work with a discussion on further developments and the feasibility of implementation.