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  5. Visualising Open Access Data: Creating and Enhancing Co-Author Networks using Natural Language Processing

Visualising Open Access Data: Creating and Enhancing Co-Author Networks using Natural Language Processing

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Resource type
Research report
Creator (person)
Ramsey, Nora
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Date published
May 2025
Abstract

Leveraging the metadata from this repository, this project aims to create a comprehensive visualization and analytics tool by way of clustered co-authorship networks. This tool will provide users with insights into author networks, and subject matter, utilizing advanced data visualization techniques and Natural Language Processing. The results of this work should be easily transferable to other repository tenants hosted by the British Library. By creating an ‘easy’ pathway for repository partners to analyse the data they host, these libraries can access and disseminate important statistics to funders, administration, and the public.

Contributor (organisation)
Birkbeck, University of London
Examiner
Publisher
British Library
Place of publication
London, UK
Official URL
https://doi.org/10.23636/0x6t-w663
Rights statement
In Copyright
Licence
CC BY-SA 4.0
DOI
10.23636/0x6t-w663
Keywords
visualisation
open access
Co-Author Networks
Natural Language Processing
Additional information
This project was completed as part of the Birkbeck, University of London Postgraduate Certificate in Applied Data Science
Managed by the British Library and supported by the AHRC

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