节点文献
大数据领域研究态势及热点分析
Development trend and hotspot analysis of bigdata researches
【摘要】 经过多年发展,大数据从一个新兴的技术方向,正在成为融入实体经济发展的要素、资源和动力。美国、中国、英国、德国、澳大利亚等国家纷纷出台相关政策,推动大数据产业发展。文章基于文献计量学的视角,分析了大数据研究领域的发展历程、主要研究国家、重点机构、资助基金和研究热点。通过分析可以看到,2012—2019年期间,全球大数据研究领域年度发文整体呈现上升趋势。美国和中国在该领域发文数量最多,中国近几年的发文量逐步超过美国,位居全球第一。美国在大数据研究领域的发文机构数量最多,中国科学院在该领域发表论文数量最多。全球机构在该领域的科研合作非常密切,整体呈现4大区域性合作网络,分别为美国机构合作网络、中国机构合作网络、英国机构合作网络、澳大利亚机构合作网络。大数据领域研究热点研究方向最主要聚焦在6个方面,分别是:大数据在生命健康领域应用研究、大数据管理研究、大数据应用相关技术研究、大数据关键技术研究、大数据在工业领域应用研究、大数据在开放科学和共享方面研究。
【Abstract】 Big data has been becoming an element, resource and driving force integrated into all fields of real economic development after years of development. The United States, China, the United Kingdom, Germany and Australia, have formulated policies to promote the development of big data industry.Based on the perspective of bibliometrics, this paper analyzes the development process, main research countries, key institutions, funding and research hotspots in the field of big data. It can be seen from the analysis that during 2012—2019, the annual documents of big data research showed an overall upward trend. The United States and China have the largest number of documents in this field. In recent years, China has gradually surpassed the United States and ranked first in the world. The United States has the largest number of institutions in this field, and the Chinese Academy of Sciences has the largest number of papers published in this field. The global scientific research cooperation in this field is very close, and there are four regional cooperation networks as a whole, namely American organization cooperation network, Chinese organization cooperation network, British organization cooperation network and Australian organization cooperation network. The hot research of big data mainly focus on six aspects: big data application in the field of life and health, big data management, key technologies of big data application, key technologies of big data, big data application in the industrial field, and the research on open science and sharing of big data.
- 【文献出处】 河北省科学院学报 ,Journal of the Hebei Academy of Sciences , 编辑部邮箱 ,2021年05期
- 【分类号】TP311.13
- 【被引频次】4
- 【下载频次】404