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Bulletin of Chinese Academy of Sciences (Chinese Version)

Article Title

Big Earth Data Research Topic Evolution and Influence Analysis

Keywords

Big Earth Data, literature metrology, distribution of research topics, research hotspots evolution, research influence

Document Type

Strategy & Practice

Abstract

Big data driven data-intensive scientific discovery, and the Big Earth Data is the base and engine of Earth system science. Based on observation of natural geographical elements on different scales and acquisition of data, and the data obtained during the interdisciplinary research processes, integration and mining analysis will promote the development of Earth science to achieve significant innovation. The Big Earth Data has also become the important national strategic resources, and exerted influence on international cooperation and diplomatic relationship. In this study by means of literature metrology, the Big Earth Data literature from the Science Citation Index (SCI) and Social Science Citation Index (SSCI) was analyzed. According to the global paper output quantity, the influence of countries and institutions, research topic, research hotspot change, international cooperation, and so on, present situation of the Big Earth Data research was revealed. Some suggestions in the future will focus on sharing and integration of developing interdisciplinary Big Earth Data, and in order to improve the Earth science data depth mining theory and method, and to realize analysis, modeling and prediction of complex Earth system, and to support and serve global change and sustainable development.

First page

973

Last Page

988

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

References

1 Guo H D. Big Earth Data:A new frontier in Earth and information sciences. Big Earth Data, 2017, 1(1/2):4-20.

2 郭华东. 科学大数据——国家大数据战略的基石. 中国科学院院刊, 2018, 33(8):768-773.

3 Guo H D, Wang L Z, Liang D. Big Earth Data:A new frontier in Earth and Information sciences. Science Bulletin, 2016, 61(7):505-513.

4 王淑强, 王卷乐, 李扬, 等. 基于文献计量学的国际地球科学数据管理研究进展. 全球变化数据学报, 2020, 4(3):299-313.

5 董少春, 齐浩, 胡欢. 地球科学大数据的现状与发展. 科学技术与工程, 2019, 19(20):1-11.

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