全球大数据研究的历史演进:1993—2016年

Historic Evolution of Global Big Data Research:1993—2016

运用CiteSpace软件对WOS中的3296篇论文进行全样本分析,发现全球大数据研究分为探索期、增长期和爆发期,具有覆盖学科领域广泛、生命科学大数据研究活跃及人文社会科学大数据研究与科学和技术学科大数据研究同步发展等特征,美国和中国在大数据研究中贡献突出。全球大数据研究形成"理论萌芽阶段-技术探索阶段-实践应用阶段"的演进路径,未来大数据研究会从理论研究向产业化研究转变,相关研究会更加注重解决实际问题。

This paper carried out the whole sample analysis of 3296 papers from the Web of Science by CiteSpace. It found that the re- search history of the global big data was divided into exploration period, increase period and eruptive period. The researches showed the characteristics such as a wide range of covering subjects, animate big data research of life science, the simultaneous development of big data research on humanities and social sciences and science and technology. The US and China contributed prominently in the big data re- search. The global data research formed the evolving path of ＂the theory embryonic stage--the technology exploratory stage--the practical application stage＂ . And it would change from theory to industry in the future and be paid more attention to solve practical problems.