Development and utilization of data and information infrastructure for "science of science, technology and innovation policy"

在本研究中，我们试图确定，开发和利用科学，技术和创新政策（以下简称DII-STIP）所必需的数据和信息基础设施。为此，我们对DII-STIP进行了概念梳理，并对作为科技创新两大重要来源的高校和资助项目的评价指标进行了探讨。同时，我们开发了三种数据库作为文献计量学分析的基础设施：a）研究人员的职业生涯，B）七个国家的研究机构，以及c）美国专利中的研究论文引用。然后，我们进行了实验评估的出版物和引文从各个方面的基础上，这些数据库。

In this study, we tried to identify, develop, and utilize data and information infrastructure essential for science of science, technology and innovation policy (hereafter DII-STIP). For this purpose, we conducted conceptual arrangement of DII-STIP, then explored evaluation indicators for universities and funding programs, which were two important sources of science, technology and innovation. Alongside, we developed three kinds of databases as infrastructure for bibliometrics analysis; a) researchers' career, b) research institution s of seven countries, and c) citation of research papers from US patents. We then conducted experimental assessment of publications and citations from various aspects based on these databases.