Mapping the cataloguing practices in information environment: a review of linked data challenges
Information and Learning Sciences
ISSN: 2398-5348
Article publication date: 12 October 2018
Issue publication date: 13 November 2018
Abstract
Purpose
This study aims to explore the development of cataloguing standards used to organize information sources in libraries and information centers. Its key objective is to assess the challenges faced by information professionals to apply new bibliographic standards in linked data (LD) environment.
Design/methodology/approach
This study is based on extensive review of scholarly literature. Several databases were searched to identify relevant literature. Keywords such as RDA, FRBR, MARC and BIBFRAME were used along with LD to conduct search. Related literature was consulted and reviewed accordingly.
Findings
Findings reveal that cataloguing standards are subsequently evolving with the advancement of information technology. Libraries have been publishing their legacy metadata into LD. Many tools are developed for mapping the library metadata into LD applications. The Library of Congress has developed BIBFRAME model to fulfill the requirements of new bibliographic standards by using LD technology. It is found that extensive use of MARC standards, complexity of LD technologies, non-availability of vocabulary and inconsistency of terminologies are the major challenges for libraries to adopt LD applications.
Practical implications
This review will be a valuable addition for LIS scholars to understand the challenges of LD application. This study would be significant for the library community and policymakers who are interested in implementing LD technologies.
Originality/value
This paper is a one of its kind, where the development in cataloguing models and standards is explained along with the challenges to adopt LD applications for legacy data.
Keywords
Citation
Wahid, N., Warraich, N.F. and Tahira, M. (2018), "Mapping the cataloguing practices in information environment: a review of linked data challenges", Information and Learning Sciences, Vol. 119 No. 9/10, pp. 586-596. https://doi.org/10.1108/ILS-10-2017-0106
Publisher
:Emerald Publishing Limited
Copyright © 2018, Emerald Publishing Limited