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From Semantic Name Authority Repository Cymru
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Introduction
The Semantic Name Authority Repository Cymru (SNARC) was established in 2023 in order to provide a central hub for Name authority records relating to Wales and in the Welsh language. The authority records might be 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 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 accessed manually or using an API or Query Service. The goal is to establish and grow the dataset to act as an important bridge between 3rd party linked open data from Wikidata and other sources, and data curated by GLAM professionals
SNARC Stats
Number of pages
134,687

Number of Edits
1,005,971

Active users list
1

Administrators
1

Users/administrator
1

People
👥
Guidance on the data model used for people along with useful queries and data visualisations for exploring the data
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Places
🗺
Guidance on the data model used for places along with useful queries and data visualisations for exploring the data
Tools
Useful tools for database administrators along with tools for querying the data. Tools, which make changes to the database can only be accessed by administrators.


Reuseing this data
🔓
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.



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