- 年份:2021 年
- 編號:215
- Topic分類:3
- Topic分數:1
- Publish:College & Research Libraries
- 作者:Emmanouel Garoufallou, Panorea Gaitanou
Keywords:Big Data, Library, Data Mining
Abstract:Big DataOpportunities and Challenges in Librariesa Systematic Literature Review CurrentlyBig Datais an emerging field that presents several Information Technology challenges regarding the capturestorage searchstructureand visualization of this dataThe real challenge for organizations is to find ways to extract value from it and provide better services to their clientsThe data generated in academic and other institutions is vast and complexLibraries face new challenges as they seek to determine their role in the handling of Big Data within their organization and use it to develop servicesThusin most organizationslibraries will not have the knowledge to build new services unaidedFurthermorelibraries have always been information handlers and technology adoptersthereforeBig Data technologies will certainly affect their contextThe purpose of this paper is to explore all these issues through a systematic literature reviewunveiling the theories that underpin the papers argumentIt attempts to answer several research questionssuch as how librarians are involved in the Big Data eraAnd what are the future research developments of Big Data within the library contextThe study considered only papers published between 2012 and 2018 in English and presents the collected literature by grouping them according to the type of library each paper refers toThusit identifies new and evolving roles in the context of all types of librariesIn additionthe study presents several interesting tableswhich aim to help librarians locate relevant articles that will inform their practice and guide service development for users of large and complex datasetsConsulting ServiceSince Big Data technology affects the librarylibrary may need to seek professional consultation to learn how to better use these dataLibrary AutomationThe application of big data technology can affect the automation system of the librarysuch as data storage and searchRetrieval and IndexingBig data can affect the method of retrieval and indexingespecially when the amount of data is as large as traditional methods cannot be effectively processedThis study discusses the emerging field ofBig Dataas well as IT challenges how to capturestoragesearchstructuredand visualizedThe main challenge is how to extract value from itThis paper focuses on the review of the literature to understand how the library processs big data in this contextData Mining is the process of finding hiddenunknowneffective models and relationships from large data sets
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