数据科学与工程：大数据时代的新兴交叉学科

Aoying Zhou; Weining Qian; Changbo Wang

doi:10.11959/j.issn.2096-0271.2015022

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数据科学与工程：大数据时代的新兴交叉学科

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- 数据科学与工程：大数据时代的新兴交叉学科
- BIG DATA RESEARCH Vol. 1, Issue 2, Pages: 2015022(2015)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2015022
  CLC：
- Online First：2015-07，
  
  Published：20 July 2015
- 稿件说明：
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Aoying Zhou, Weining Qian, Changbo Wang. [J]. BIG DATA RESEARCH, 2015, 1(2): 2015022.
DOI：

Aoying Zhou, Weining Qian, Changbo Wang. [J]. BIG DATA RESEARCH, 2015, 1(2): 2015022. DOI： 10.11959/j.issn.2096-0271.2015022.

摘要

大数据时代的IT发展的基本特点是：应用驱动创新，开源加速创新，硬件助力创新。基于对这些特点的认识，从社会创新发展、人才需求变化、技术发展趋势等方面论述了数据科学与工程这一新兴交叉学科的发展必然性，进一步阐述了数据科学与工程学科的特点、学科内涵与知识体系，最后从科学研究、系统开发和人才培养的角度探讨了数据科学与工程学科的建设思路。

Abstract

There are some characteristics for IT development in the big data era:the real-life applications are the driving force for innovation; open sourcing accelerates innovation

and the advancement in hardware lay the foundation for innovation.The data sciences and engineering was regarded as an emerging and developing interdisciplinary and discussed from the aspects such as social innovation and development

talents demand changes

and technology development.Then the features

connotations

and knowledge hierarchy of data sciences and engineering as a discipline were described.Finally

the associated research and development

talent training

and best practice were also presented.

关键词

Keywords

references

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