Informatics and data science: an overview for the information professional

Author:

Cervone H Frank

Abstract

Purpose – This paper aims to describe the emerging field of data science, its significance in the larger information landscape and some issues that distinguish the problems of data science and informatics from traditional approaches in the information sciences. Design/methodology/approach – Through a general overview of the topic, the author discusses some of the major aspects of how work in the data sciences and informatics differ from traditional library and information science. Findings – Data science and informatics, as emerging fields, are expanding our understanding of how the massive amount of information currently being generated can be collected, managed and used. While these may not be traditional “library” problems, the contributions of the library and information science communities are critical to help address aspects of these issues. Originality/value – The emerging fields of data science and informatics have not been extensively explored from the perspective of the information professional. This paper is designed to help information professionals better understand some of the implications of data science in a changing information environment.

Publisher

Emerald

Subject

Library and Information Sciences,Education,Information Systems

Reference9 articles.

1. American Medical Informatics Association (2015), “Working groups”, available at: www.amia.org/working-groups

2. Draglund, A. (2013), “Big data – for better or worse”, SINTEF Corporate News, 22 May, available at: www.sintef.no/en/corporate-news/big-data–for-better-or-worse/

3. Mayer-Schoenberger, V. and Cukier, K. (2014), Big Data , Houghton Mifflin Harcourt, New York, NY.

4. Monteiro, L.A. (1985), “Florence nightingale on public health nursing”, American Journal of Public Health , Vol. 75 No. 2, pp. 181-186.

5. Press, G. (2013), “A very short history of data science”, Forbes, 28 May, available at: www.forbes.com/sites/gilpress/2013/05/28/a-very-short-history-of-data-science/

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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