国际数据科学演进研究:基于时间维度的分析

发布时间：2018-08-02 20:28

【摘要】：数据对人们的影响越来越大,研究和探索数据的发展成为目前关注的研究热点之一。数据科学是以数据为中心的科学,本文在文献计量分析的基础上基于时间维度,借助可视化分析软件对数据科学发展演进进行分析,厘清数据科学发展的轨迹,研究其在信息科学、社会科学、机器学习、大数据领域的应用情况。研究发现数据科学的发展覆盖多个学科领域,属于一门新的交叉性学科,对知识积累、文化记忆和信息社会的发展十分重要;本文通过对数据科学发展的演进分析,将数据科学发展分为以数据存储为中心和以数据分析处理为中心两个阶段,并对两个阶段数据科学发展进行对比。从数据科学发展的演进来看,数据科学发展的未来趋势将更加注重数据的分析处理。
[Abstract]:Data has more and more influence on people. The development of research and exploration data has become one of the research hotspots. Data science is a data-centered science. This paper analyzes the evolution of data science based on the time dimension on the basis of literature econometric analysis, and clarifies the track of the development of data science by means of visual analysis software. Research its application in the fields of information science, social science, machine learning and big data. It is found that the development of data science covers many disciplines and belongs to a new interdisciplinary subject, which is very important to the development of knowledge accumulation, cultural memory and information society. The development of data science is divided into two stages: data storage as the center and data analysis and processing as the center. According to the evolution of data science, the future trend of data science development will pay more attention to the analysis and processing of data.
【作者单位】：武汉大学中国科学评价研究中心;武汉大学信息管理学院;
【基金】：国家社会科学基金项目“中国学者国际学术论文影响力评价研究”(16BTQ055)的成果之一
【分类号】：G353.1

【参考文献】