SGER: Mapping the Paradigmatic Structure and Dynamics of Chemistry

SGER：绘制化学范式结构和动力学

• 批准号: 0809975
• 负责人: Robert Continetti
• 金额: $ 12.98万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2010-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0809975&HistoricalAwards=false
• 关键词: SGER; Mapping; Paradigmatic; Structure; Dynamics

This Small Grant for Exploratory Research (SGER) will support a pilot study that compares traditional disciplinary divisions to two natural classification systems: one based on a journal classification system and the other based on an article-level classification system. The first task will focus on mapping and comparing existing conventional classification systems: the structure of chemistry funding organizations, and two different journal classification systems. The remaining tasks will develop and characterize an article-level classification system. Ten years of article-level data will be clustered into paradigms (groups of highly cited references). The dynamic structure of chemistry will then be explored using both retrospective and prospective approaches, both of which will generate Ptrends, or clusters of paradigms over time. Results from these two approaches will be compared to identify early indicators of emerging trends. Third, grants will be linked to paradigms to Ptrends to show the funding patterns for different dynamic structures. Hypotheses about how funding correlates with different types of dynamic structures will be tested. Results from many of the computations will be reviewed and/or compared by experts in chemistry to provide a judgment on their accuracy or applicability. The results of this bibliometric analysis will be widely reported though publications and a sequence of high quality maps that show the disciplinary sub-structure of chemistry and its dynamics over time. This project will develop and test algorithms to generate scientific structures that, along with appropriate visualizations, have the potential to change the way science is funded, organized and tracked. This will have timely and positive implications for R&D managers, policy makers, educational institutions, and corporations.

探索性研究（SGER）将支持一项试点研究，将传统的学科划分与两个自然分类系统进行比较：一个基于期刊分类系统，另一个基于文章级分类系统。第一项任务将侧重于绘制和比较现有的传统分类系统：化学资助组织的结构和两种不同的期刊分类系统。余下的任务将制定一个物品一级的分类系统并说明其特点。十年的文章级数据将被聚类为范式（高引用参考文献组）。化学的动态结构，然后将探讨使用回顾性和前瞻性的方法，这两种方法将产生Ptrends，或集群的范例随着时间的推移。将对这两种方法的结果进行比较，以确定新趋势的早期指标。第三，赠款将与趋势范例相联系，以显示不同动态结构的供资模式。将检验关于供资如何与不同类型的动态结构相互关联的假设。许多计算的结果将由化学专家进行审查和/或比较，以判断其准确性或适用性。这一文献计量学分析的结果将通过出版物和一系列高质量的地图广泛报道，这些地图显示了化学的学科子结构及其随时间的动态。该项目将开发和测试算法，以生成科学结构，沿着适当的可视化，有可能改变科学的资助，组织和跟踪方式。这将对研发管理人员、政策制定者、教育机构和企业产生及时和积极的影响。