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Linked Open Data - 10 Things to reach the realm of LOD (part of TOP 10 FAIR DATA & SOFTWARE THINGS)

Siebes, Ronald; Coen, Gerard; Gregory, Kathleen; Scharnhorst, Andrea

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/)

We are grateful for pointers from and discussion with the DANS Research group, in particular from Herbert van de Sompel; and also for the valuable contributions of Esther Plomp, Marjan Grootveld and Enrico Daga. This document has been informed by the 'GO FAIR Implementation Network Manifesto: Cross-Domain Interoperability of Heterogeneous Research Data (Go Inter)' (Ed. by Peter Mutschke) https://www.go-fair.org/implementation-networks/overview/go-inter/ . The grants "Digging into the Knowledge Graph" and "Re-search: Contextual search for scientific research data" (NWO) have enabled part of this work.
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Publication date:
October 3, 2019
DOI:
10.5281/zenodo.3471806

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Keyword(s):
linked data, social sciences, recipe, semantic web, instructions
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