Frontiers of Data and Computing ›› 2023, Vol. 5 ›› Issue (6): 9-19.

CSTR: 32002.14.jfdc.CN10-1649/TP.2023.06.002

doi: 10.11871/jfdc.issn.2096-742X.2023.06.002

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Research on the Construction Method of Basic Research Competitiveness Platform

LI Zhenzhen1,2,*(),ZHONG Yongheng1,2,WANG Hui1,2,LIU Jia1,2,SUN Yuan1,2   

  1. 1. Wuhan Library of Chinese Academy of Sciences, Wuhan, Hubei 430071, China
    2. Hubei Key Laboratory of Big Data in Science and Technology, Wuhan, Hubei 430071, China
  • Received:2022-06-15 Online:2023-12-20 Published:2023-12-25

Abstract:

[Background] The competitiveness of basic research is the core element reflecting the scientific and technological innovation ability of countries, regions, institutions, disciplines, and talents. [Objective] In order to track and judge the competitiveness of basic research in China, we design a basic research competitiveness platform, and find the development track of the competitiveness of basic research in various regions and institutions in China. [Methods] The overall architecture of the platform includes infrastructure layer, data system layer, data analysis layer, and application service layer. The data system layer has established a data system and evaluation indicators based on NSFC fundings, academic papers, ESI, invention patents, innovation platforms, national science and technology awards, and high-end talents. The data analysis layer constructs the Basic Research Competitive Index, carries out overall analysis, provincial analysis, and institutional analysis of China's basic research competitiveness, and uses natural language processing technology to achieve semantic knowledge services. The application service layer has built a basic research competitiveness platform, which provides six functional service modules, including interactive retrieval, all-around data display, special research, analysis and evaluation, research report, and personal center. [Results] The basic research competitiveness platform uses the BRCI model and data mining methods to better organize a large number of multi-source heterogeneous scientific and technological data, to intuitively show the development status and trend of the basic research competitiveness of various regions and institutions in China, and to provide support and assistance for the accurate decision-making of basic research in China.

Key words: basic research, basic research competitive index, data system, evaluation index, knowledge service, NSFC