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Making research data FAIR: the building of a CIDOC CRM extension for humanities and social sciences

Authors: Beretta, Francesco;

Making research data FAIR: the building of a CIDOC CRM extension for humanities and social sciences

Abstract

This talk addresses the issue of interoperability of data generated by historical research in order to make them re-usable for new research agendas (as a realisation of the FAIR principles). The reasons for adopting the CIDOC CRM as a core ontology for this field, but extending it with some relevant, missing high-level classes, will be discussed while taking advantage of the methodological tools provided by the foundational ontologies DOLCE and DnS. Finally, the talk will show how collaborative data modelling carried out in the ontology management environment OntoME (ontome.net) makes it possible to elaborate a communal fine-grained and adaptive ontology of the domain.

Country
France
Keywords

[SHS.HIST] Humanities and Social Sciences/History, HSS research data; ongologies; FAIR principles, [INFO.INFO-IT] Computer Science [cs]/Information Theory [cs.IT], [SHS.INFO] Humanities and Social Sciences/Library and information sciences

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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