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。
The influence of data on people is growing, and it is one of the focuses to study and explore the development of data. The data science is mainly to analyze data, and we analyze the annual distribution of international data science by bib- liometrics and analyze the evolution of data science by visualizing tool, so as to reveal the evolution of data science and study the application of data science at different times. The study found that data science covers a wide range of disciplines, which belongs to a new interdisciplinary field of science. It is important for accumulation of knowledge, cultural memory and the de- velopment of information society. We divided the data science into primary stage and developing stage through the evolution of data science. It can be seen that the influence of data science has become the focus of attention of researchers and the data science has a wide range of research. The paper compare two stages of data science. The research evolution of data science shows that the trend of data science will focus on data analysis and processing in the future.
出处
《图书情报知识》
CSSCI
北大核心
2017年第4期71-79,共9页
Documentation,Information & Knowledge
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
关键词
数据科学
数据
交叉学科
演进研究
时间维度
Data science
Data
Interdisciplinary
Evolution research
Time dimension
