Abstract
Data connected to our cultural and industrial heritage are often collated by passionate volunteers, typically in the form of blogs and websites. Decades of effort is invested in these sites, which are then vulnerable to data loss due to technical failures, lack/loss of volunteers, or link rot (Chapekis et al., 2024). In collaboration with undergraduate Computer Science students from the University of St Andrews and Wikimedia UK, two unique datasets (created from the websites for Women’s History Scotland and Scottish Brick History) were extracted, cleaned, uploaded to Wikidata, then used to generate creative websites to allow readers to interact with the data. This data paper will explore the pluses and minuses of our approach, and how we would tackle similar datasets in the future.
| Original language | English |
|---|---|
| Article number | 33 |
| Number of pages | 7 |
| Journal | Journal of Open Humanities Data |
| Volume | 12 |
| DOIs | |
| Publication status | Published - 25 Feb 2026 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 4 Quality Education
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SDG 5 Gender Equality
Keywords
- Scottish brick history
- Wikidata
- Undergraduate research
- Open access
- Web scraping
- Human-computer interaction
Fingerprint
Dive into the research topics of 'From websites to Wikidata: digitising Scotland’s stories'. Together they form a unique fingerprint.Projects
- 1 Active
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Inclusion, Diversity, Equity and Accessibility in Open Knowledge Network (IDEA Network)
Ardati, A. A. (CoI), Miguel, A. (CoI), Ross, K. (CoI), Thomas, S. (CoI) & Voss, A. (CoI)
1/04/21 → …
Project: Standard
Datasets
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Wikidata Entries For Scottish Brick History
Young, G. (Creator), Thomas, S. (Contributor), Cranston, M. (Rights Holder) & Ross, K. S. (Data Manager), Figshare, 11 Oct 2025
DOI: 10.6084/m9.figshare.30585428
Dataset
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Wikidata Entries For Women of Scotland Memorials
Shaw, J. (Creator), Thomas, S. (Contributor) & Ross, K. S. (Data Manager), Figshare, 11 Oct 2025
DOI: 10.6084/m9.figshare.30585410
Dataset
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