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Abstract
Linked Open Data (LOD) are inherently interoperable and have the potential to play a key role in implementing the 'I' in FAIR. They are machine-readable, based on a standard data representation (RDF - Resource Description Format) and are seen as epitomizing the ideals of open data (see https://5stardata.info/en/). They offer great promise in helping to achieve a specific type of machine-executable interoperability known as semantic interoperability, which relies on linking data via common vocabularies or Knowledge Organisation Systems (KOS). This document attempts to demystify LOD and presents 'Ten Things' to help anyone wanting to publish LOD. It is part of the Library Carpentry-Mozilla Global Sprint (May 2019) (see also https://librarycarpentry.org/Top-10-FAIR/)
Original language | English |
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Number of pages | 17 |
DOIs | |
Publication status | Published - 03 Oct 2019 |
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- 1 PhD candidate supervision
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Findable and reusable? Data discovery practices in research
Sally Wyatt (Supervisor), Andrea Scharnhorst (Supervisor) & Paul Groth (Supervisor)
01 Jan 2017 → 31 Dec 2020Activity: Teaching/Examination/Supervision › PhD candidate supervision