Towards a semantic approach in GLAM Labs: The case of the Data Foundry at the National Library of Scotland

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/135089
Información del item - Informació de l'item - Item information
Title: Towards a semantic approach in GLAM Labs: The case of the Data Foundry at the National Library of Scotland
Authors: Candela, Gustavo
Research Group/s: Lucentia
Center, Department or Service: Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos
Keywords: Collections as data | Data quality | Digital libraries | Linked open data | Semantic Web
Issue Date: 8-Jun-2023
Publisher: SAGE Publications
Citation: Journal of Information Science. 2023. https://doi.org/10.1177/01655515231174386
Abstract: GLAM organisations have been exploring the benefits of publishing their digital collections in a wide variety of forms since the 2000s. Many institutions, and in particular libraries, have applied the Semantic Web and Linked Data to their main catalogues. Recent advances in technology and innovative approaches concerning the reuse of the digital collections by means of computational access have paved the way for the creation of laboratories within GLAM organisations. In this work, we present a framework that works in several steps to transform into linked open data (LOD), assess and enrich with external repositories the data sets made available by GLAM organisations under open licences. The framework has been applied to three metadata data sets made available by the Data Foundry at the National Library of Scotland obtaining as a result a collection of LOD repositories, a data quality assessment and examples of exploration. The results of this work are publicly available and can be applied to other domains such as digital humanities and data science.
Sponsor: This work has been funded by The National Librarian’s Research Fellowship in Digital Scholarship 2022-23 at the National Library Scotland.
URI: http://hdl.handle.net/10045/135089
ISSN: 0165-5515 (Print) | 1741-6485 (Online)
DOI: 10.1177/01655515231174386
Language: eng
Type: info:eu-repo/semantics/article
Rights: © The Author(s) 2023
Peer Review: si
Publisher version: https://doi.org/10.1177/01655515231174386
Appears in Collections:INV - LUCENTIA - Artículos de Revistas

Files in This Item:
Files in This Item:
File Description SizeFormat 
ThumbnailCandela_2023_JIS_final.pdfVersión final (acceso restringido)753,25 kBAdobe PDFOpen    Request a copy
ThumbnailCandela_2023_JIS_preprint.pdfPreprint (acceso abierto)656,8 kBAdobe PDFOpen Preview


Items in RUA are protected by copyright, with all rights reserved, unless otherwise indicated.