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Incites与ESI在国家自然科学基金选题中的预测分析和探索实践

邓小茹

现代情报2018,Vol.38Issue(6):122-127,143,7.
现代情报2018,Vol.38Issue(6):122-127,143,7.DOI:10.3969/j.issn.1008-0821.2018.06.019

Incites与ESI在国家自然科学基金选题中的预测分析和探索实践

Prediction Analysis and Exploration Practice of Incites and ESI in the Topic Selections of National Natural Science Foundations

邓小茹1

作者信息

  • 1. 广州医科大学图书馆, 广东 广州511436
  • 折叠

摘要

Abstract

In this article, the author knew that research topics and academic papers had the close relationship be-tween the support each other. In order to explore and utilize the existing analysis tools to carry out the financing innovation services, reasonable mining hottest interdisciplinary fields or the most advantage of research topics, in the future practice to build a feasible quantitative prediction model, it used the essay analysis tools to explore the research topics, discarding the commonly used inherent patterns of the ESI and Incites databases on the ESI discipline and the potential disciplinary analy-sis, using Incites database and ESI platform for the coupling relationship. It declared the National Natural Science Founda-tion of selected topics as an example, the statistics of the past 3 years the fund issued in the quantitative analysis, to study the quantitative analysis of a high-level SCIE/SSCI papers as a starting point, combining with the deeper "dark" data vis-ual information processing method, suitable for scientific research subject topics provided ideas and reference, and books combining with a deeper "dark data" visualization information processing methods, to provide ideas and reference for the appropriate research topics, and for intelligence in the construction of high-level university for "dark data" visualization integrated intelligence analysis and the complementary service ability to ascend to explore practical research.

关键词

InCites/ESI/"暗数据"可视化/科研选题/文献计量学

Key words

InCites/ESI/"dark data" visualization/research topics/bibliometrics

分类

社会科学

引用本文复制引用

邓小茹..Incites与ESI在国家自然科学基金选题中的预测分析和探索实践[J].现代情报,2018,38(6):122-127,143,7.

基金项目

广东省教育厅 "2017年广东高校省级重点平台和重大科研项目" 特色创新 (自然科学类) 资助项目 " '暗数据' 可视化在高水平大学 ESI 学科发展的动态跟踪及预测研究" (项目编号: 2017KTSCX156) (自然科学类)

2016年广州市哲学社会科学发展 "十三五" 规划课题"广州实施网络社会信息治理与 '暗数据' 可视化的耦合机制研究" (项目编号: 2016GZGJ106). (项目编号: 2016GZGJ106)

现代情报

OACHSSCDCSSCICSTPCD

1008-0821

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