Keeping it under lock and keywords
Exploring new ways to open up the web archives with notebooks
Bibliographic Data
| ID | 12628816 |
|---|---|
| Authors | Leontien Talboom (0000-0001-7408-5471, National Archives, corresponding author), Mark Bell (0000-0003-0154-4651, National Archives) |
| Year | 2022 |
| Volume | 22 |
| Issue | 3 |
| Pages | 393-415 |
| Publication date | 2022-07-04 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Archival Science (JOURNAL) |
| Journal identifiers | ISSN: 1389-0166 • E-ISSN: 1573-7500 |
| Publisher | Springer Nature (PUBLISHER • SG) |
| DOI | 10.1007/s10502-022-09391-6 |
| PMID | 35814870 |
| OpenAlex | W4283798484 |
| Language | EN |
| Citations received | 1 |
| References cited | 17 |
The UK Government Web Archive (UKGWA) has been archiving government websites since 1996 and now holds regular snapshots of over 5000 sites. Currently, this material can be accessed through browsing or a simple keyword search interface on their website and has also been catalogued in The National Archives' online catalogue, Discovery. However, the scale of the UKGWA exposes the limits of the current search interface, and there is no facility to understand the archive in aggregate. This article seeks to go beyond the simple keyword search by exploring the data sources available, from APIs to web crawling, for computational analysis of the UKGWA. The article is accompanied by two Python Notebooks which present examples of analysis using each data source. Notebooks lower the technical barriers for the reader to explore and interpret the UKGWA as data, while surfacing the challenges around making web material computationally accessible
Archaeology · Cultural heritage · Data science · Lock (firearm · Open source · Programming language · World Wide Web · Computer Science · Data Quality and Management · History · Research Data Management Practices · Web Data Mining and Analysis
| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |