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From Semantic Name Authority Repository Cymru
Revision as of 14:28, 29 August 2023 by Jason.nlw (talk | contribs)
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Introduction
The Semantic Name Authority Repository Cymru (SNARC) was established in order to provide a central hub for name authority records relating to Wales and in the Welsh language. The authority records related to people, places or social constructs such as organisations or businesses. The database also includes all the additional data needed to describe these things, such as occupations, places of education, language and nationality. Based on Wikidata, but using a simplified and customized ontology, the data is presented as Linked Open Data and this makes it easier for us to define relationships between entities in our collections. All the data is bilingual and available on an Open Licence. The dataset can be explored using the search box on this page, the links below or using the API or Query Service. Our goal is to grow the dataset using data from Welsh cultural organizations, connecting our heritage in one central hub. It will also act as an important bridge between 3rd party linked open data from Wikidata and other sources, and data curated by GLAM professionals around the world.
SNARC Stats
Number of pages
130,937

Number of Edits
988,143

Active users list
1

Administrators
1

Users/administrator
1

People
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Useful queries and data visualisations for exploring the data

Explore People
Featured Family Trees (Uses Wikidata)
Search People


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Places
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Useful queries and data visualisations for exploring the data

Maps
Search places
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Reusing this data
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The data in SNARC along with all associated documentation and queries are freely available for reuse with no requirement for attribution under a CC-0 licence. In return, we would greatly appreciate it if, in your project, you mention The National Library of Wales and Wikidata as the origin of your data. In so doing you help ensure that we can monitor reuse and justify the continued development of this resource.
Data hierarchy
As structured data, all entities in the dataset should form part of a hierarchy. This dataset uses the bespoke high level hierarchy below, which simplifies the class system imported with items from Wikidata. Click on the items below to see subclasses of each type.


Guidelines on the data structure can be found here


Place
Any place whether natural or human made
Concept
Semantic unit understood in different ways
Life
Any living physical entity such as an animal, plant, fungus, or bacterium
Creation
Intentional intellectual or artistic creation