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

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Wilhemina Odarkor Ofori, M. Cobblah
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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.
释放潜力:加纳学术图书馆大数据应用系统分析
大数据可被描述为不同信息集的集合,这些信息集正以指数级的速度扩展,企业可收集并分析这些信息集,以提取有价值的见解。本系统综述旨在解释大数据可能给加纳学术图书馆带来的益处和困难。在加纳学术研究图书馆联盟(CARLIGH)订阅的多个学术数据库中,以大数据和学术图书馆为关键词进行了联合搜索。所搜索和检索的相关文章基于摘要和标题,时间跨度为 2001 年至 2023 年。在检索到的全部文献中,有 65 篇符合研究人员设定的纳入标准。主要研究结果表明,大数据有助于加强学术图书馆的馆藏、开发个性化服务、分析用户行为和协助决策。要实现收益最大化,必须解决包括保护用户隐私、数据管理和技术人员短缺在内的问题。建议加纳的学术图书馆与几个重要的利益相关者合作使用大数据,同时确保有适当的环境可供使用和访问。本研究通过整合研究人员的科学见解和建议,为有关学术图书馆大数据的文献做出了贡献。它还在对该领域近期相关文献进行深入研究的基础上,概述了主要的实施问题。建议那些寻求将大数据纳入其业务的学术图书馆实施有效的数据管理计划和其他战略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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