〔摘 要〕科研课题与学术论文之间存在着互相支撑的紧密关系，为探寻和利用已有的分析工具开展融通创新服务，合理挖掘各学科领域最热或最具优势的科研选题，在今后的实际工作中构建切实可行的定量预测模式，文章以学术论文分析工具对科研项目选题进行探索研究，舍弃现今人们常用的把ESI与Incites数据库对ESI学科和潜力学科分析工作上的固有模式，采用Incites数据库和ESI平台进行耦合关联，以申报国家自然科学基金项目的选题为例，对其近3年的资助发文情况进行统计，以定量分析高水平的SCIE/SSCI研究论文为出发点，结合更深层“暗数据”可视化信息加工方法，为科研课题的适当选题提供思路和借鉴，并为图书情报部门在高水平大学建设中的“暗数据”可视化综合情报分析与优势互补服务能力提升做出探索实践性研究。

〔关键词〕InCites；ESI；“暗数据”可视化；科研选题；文献计量学

DOI：10.3969/j.issn.1008-0821.2018.06.019

〔中图分类号〕G301 〔文献标识码〕A 〔文章编号〕1008-0821（2018）06-0122-06

〔Abstract〕In this article，the author knew that research topics and academic papers had the close relationship between 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 analysis，using Incites database and ESI platform for the coupling relationship.It declared the National Natural Science Foundation 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 visual 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.

〔Key words〕InCites；ESI；“dark data”visualization；research topics；bibliometrics

当前，建设世界一流大学和一流学科（简称“双一流”）是国家和地区发展的一项国家级重点建设工程[1]。虽然在2017年9月21日，国家教育部、财政部、发改委首次公布了世界一流大学和一流学科建设高校及建设学科名单[2]，但是，也明确指出这次的遴选认定结果不是一劳永逸的，并非“终身制”，这为图书情报机构的创新知识服务指明了方向。因而，各高校的图书情报服务部门几乎都实施了定期地对各类评价指标数据进行收集、整理和分析，以便对建设成效开展动态监测，為“双一流”建设不断积累经验。……