Research on Field Characteristics of Shared Earth System Science Data Using Keyword Analysis and Visualization

This paper conducts analysis on the metadata information of shared Earth System Science data of China Scientific Data Sharing Project (SDSP) published online by Portal of Chinese Science and Technology Resource. High- frequency keywords are extracted from the metadata, keyword clusters are formed by means of co-occurrence matrix and K-core analysis, and then network visualization is made by Pajek software. This research reveals the field characteristics of the data through analyzing the keywords network structure, make conclusion on the hot acquisition spots of data in Earth System Science field shared on SDSP.