大数据与图书馆:识别文献中的主题

Q3 Social Sciences

Internet Reference Services Quarterly Pub Date : 2018-04-03 DOI:10.1080/10875301.2018.1524337

Barbara A. Blummer, Jeffrey M. Kenton

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引用次数: 8

摘要

摘要全球各经济部门的大数据可用性正在增加。因此，在特殊图书馆、学术图书馆和公共图书馆提供数据服务的机会正在扩大。图书馆员的编目、归档、研究和参考技能仍然特别适合提供大数据服务。在这篇文章中，作者审查了有关大数据和图书馆的文献，以确定主要主题，并强调大数据集管理的可能性和问题。图书馆员可以利用这些信息来发展或改善其机构图书馆的数据服务。

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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Big Data and Libraries: Identifying Themes in the Literature

Abstract The availability of big data is increasing in various sectors of the economy worldwide. Consequently, opportunities for data services are expanding in special, academic and public libraries. Librarians’ cataloging, archiving, research, and reference skills remain especially suited for the provision of big data services. In this article the authors examine the literature on big data and libraries to identify major themes as well as highlight possibilities and problems with the management of large datasets. Librarians can utilize this information to develop or improve data services in their institutions’ libraries.

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来源期刊

Internet Reference Services Quarterly Social Sciences-Library and Information Sciences

CiteScore

2.40

自引率

0.00%

发文量

期刊介绍： Internet Reference Services Quarterly tackles the tough job of keeping librarians up to date with the latest developments in Internet referencing and librarianship. This peer-reviewed quarterly journal is designed to function as a comprehensive information source librarians can turn to and count on for keeping up-to-date on emerging technological innovations, while emphasizing theoretical, research, and practical applications of Internet-related information services, sources, and resources. Librarians from any size or type of library in any discipline get the knowledge needed on how to best improve service through one of the most powerful reference tools available on the Internet.