Unlocking the potential: A systematic analysis of big data applications in Ghanaian academic libraries

Author:

Ofori Wilhemina Odarkor1ORCID,Cobblah Mac-Anthony2ORCID

Affiliation:

1. Acting Librarian, Heritage Christian College, Accra, Ghana

2. Librarian, University of Cape Coast, Cape-Coast, Ghana

Abstract

Big data can be described as a collection of varying information sets that are expanding at exponential rates and which may be gathered by companies and analysed to extract valuable insights. The purpose of this systematic review was to explain the possible benefits and difficulties that big data may present for Ghanaian academic libraries. A federated search was conducted in several academic databases subscribed to by the Consortium of Academic and Research Libraries in Ghana (CARLIGH) on the terms big data and academic libraries. Relevant articles searched and retrieved were based on abstract and title and spanned the years 2001 to 2023. Of the total documents retrieved, 65 met the inclusion criteria set by the researchers. Key findings were that big data is useful for enhancing collections of academic libraries, developing personalized services, analysing user behaviour, and assisting in decision-making. To maximise gains, addressing issues including protecting user privacy, managing data, and shortage of skilled personnel is necessary. Academic libraries in Ghana are advised to collaborate with several important stakeholders on using big data while ensuring the proper setting is available and accessible. The study contributes to the literature on big data in academic libraries by integrating researchers’ scientific insights and recommendations. It also outlines the main implementation issues based on a thorough examination of recent relevant literature in the field. It is recommended that an effective data management plan and other strategies be implemented by academic libraries that seek to incorporate big data in their operations.

Publisher

SAGE Publications

Subject

Library and Information Sciences

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3