{"title":"Unlocking the potential: A systematic analysis of big data applications in Ghanaian academic libraries","authors":"Wilhemina Odarkor Ofori, M. Cobblah","doi":"10.1177/02666669241227912","DOIUrl":null,"url":null,"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.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1177/02666669241227912","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0
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.