图书情报工作

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2016 , Vol. 60 >Issue 14: 5 - 14

DOI: https://doi.org/10.13266/j.issn.0252-3116.2016.14.001

专家视点

国外数据科学研究的回顾与展望

  • 王曰芬 ,
  • 谢清楠 ,
  • 宋小康
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  • 1. 南京理工大学经济管理学院 南京 210094;
    2. 南京理工大学知识产权学院 南京 210094
王曰芬(ORCID:0000-0002-7143-7766),教授,博士生导师,E-mail:yuefen163@mail.163.com;谢清楠,博士研究生;宋小康,硕士研究生。

收稿日期: 2016-06-16

  修回日期: 2016-07-02

  网络出版日期: 2016-07-20

基金资助

本文系国家自然科学基金“新研究领域科学文献传播网络生长及对传播效果影响研究”（项目编号：71373124）和南京理工大学科学研究基金（中央高校基本科研业务费专项资金资助）“大数据时代基于深度融合的创新型知识服务体系及其运行机制研究”（项目编号：30916011330）研究成果之一。

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Review and Prospect of Overseas Research on Data Science

  • Wang Yuefen ,
  • Xie Qingnan ,
  • Song Xiaokang
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  • 1. School of Economics and Management, Nanjing University of Science & Technology, Nanjing 210094;
    2. School of Intellectual Property, Nanjing University of Science & Technology, Nanjing 210094

Received date: 2016-06-16

  Revised date: 2016-07-02

  Online published: 2016-07-20

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摘要

[目的/意义]随着大数据的发展，数据科学已经成为新的研究领域。厘清国外数据科学的发展与研究现状，可为我国今后的研究提供参考与借鉴。[方法/过程]利用Web of Science核心合集数据库对国外有关数据科学的文献进行检索，并对作者、研究方向等外部特征与关键词、主题等内容特征做计量分析；在此基础上，通过逐篇阅读与归类，从数据科学的内涵界定与应用方向两大方面进行综合分析。[结果/结论]最后，结合现有研究面临的问题与解决的方法，对数据科学的未来进行展望。

关键词： 数据科学; 研究现状; 发展趋势; 定量分析; 定性分析; 国外

本文引用格式

王曰芬 , 谢清楠 , 宋小康 . 国外数据科学研究的回顾与展望[J]. 图书情报工作, 2016 , 60(14) : 5 -14 . DOI: 10.13266/j.issn.0252-3116.2016.14.001

Abstract

[Purpose/significance] Data science is becoming a new research field with the development of big data. In order to provide reference for the future research of our country, this paper is to clarify the development and research status of foreign data science.[Method/process] Firstly, we search and retrieve the foreign literature about data science from the core database supported by Web of Science, and we conduct the quantitative analysis on the external features like author and research direction et, and internal features like key words and themes et. After that, we conduct a comprehensive qualitative analysis from two aspects, content definition and application direction, by reading and classifying all articles.[Result/conclusion] Finally, we elaborate what data science will be faced with in the future by connecting the unresolved problems and development trend in nowadays research.

Key words： data science; research status; development tendency; quantitative analysis; qualitative analysis; foreign

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