Reusing digital collections from GLAM institutions
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http://hdl.handle.net/10045/109460
Title: | Reusing digital collections from GLAM institutions |
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Authors: | Candela, Gustavo | Sáez Fernández, María Dolores | Escobar Esteban, María Pilar | Marco Such, Manuel |
Research Group/s: | Lucentia | Transducens |
Center, Department or Service: | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos |
Keywords: | Collection as data | Digital libraries | GLAM labs | Linked Open Data |
Knowledge Area: | Lenguajes y Sistemas Informáticos |
Issue Date: | 24-Aug-2020 |
Publisher: | SAGE Publications |
Citation: | Journal of Information Science. 2022, 48(2): 251-267. https://doi.org/10.1177/0165551520950246 |
Abstract: | For some decades now, Galleries, Libraries, Archives and Museums (GLAM) institutions have published and provided access to information resources in digital format. Recently, innovative approaches have appeared such as the concept of Labs within GLAM institutions that facilitates the adoption of innovative and creative tools for content delivery and user engagement. In addition, new methods have been proposed to address the publication of digital collections as data sets amenable to computational use. In this article, we propose a methodology to create machine actionable collections following a set of steps. This methodology is then applied to several use cases based on data sets published by relevant GLAM institutions. It intends to encourage institutions to adopt the publication of data sets that support computationally driven research as a core activity. |
Sponsor: | This work has been partially supported by ECLIPSE-UA RTI2018-094283-B-C32 (Spanish Ministry of Education and Science). |
URI: | http://hdl.handle.net/10045/109460 |
ISSN: | 0165-5515 (Print) | 1741-6485 (Online) |
DOI: | 10.1177/0165551520950246 |
Language: | eng |
Type: | info:eu-repo/semantics/article |
Rights: | © The Author(s) 2020 |
Peer Review: | si |
Publisher version: | https://doi.org/10.1177/0165551520950246 |
Appears in Collections: | INV - TRANSDUCENS - Artículos de Revistas INV - LUCENTIA - Artículos de Revistas |
Files in This Item:
File | Description | Size | Format | |
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![]() | Preprint (acceso abierto) | 3,13 MB | Adobe PDF | Open Preview |
![]() | Versión final (acceso restringido) | 2,16 MB | Adobe PDF | Open Request a copy |
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