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Japanese government project on innovation database platform — As an infrastructure for improving quality of science, technology and innovation policy

机译:日本政府创新数据库平台项目 - 作为提高科学,技术和创新政策质量的基础设施

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The Japanese government has been implementing a research program aimed at rationalizing the process of science and technology innovation policy-making. Part of this is a project to build an innovation database platform, which has been underway since 2011. The primary goal of this project is making available systematic data for promoting empirical quantitative research on science, technology and innovation policy. This paper describes the goal of this project and what the resultant data infrastructure could bring. Insights gained through past activities are reported as well. What is valued in the public and higher education sectors is creating databases for bibliometrics, a powerful methodology for the quantitative analysis of output from scientific research. The project aims to eliminate the division between each levels of data (macro, mezzo and micro) arising from differences in the ways to create data, and to establish linkage between them, which we call a "vertical linkage" for its ability to connect upper and lower levels of data. The project also emphasizes "horizontal linkage," or links between bibliometric and non-bibliometric data such as data on R&D and research funding. In the business sector, which is the other key area, the project focuses on establishing mutual connections among different data sets, primarily including patent and corporate data, as well as data on innovation activities, intellectual property right (IPR) activities, and investments in R&D and intangible assets. The biggest hurdle to overcome in forming such mutual links between various data held by different companies lies in the organizing of patent data, a task that would call for a process known as "data cleansing," as in the case of bibliometric data. Almost three years have passed since the start of these efforts to develop databases. The databases are already available and have been used by policy researchers. The next chal- enge is how to exploit the outcome of such research for policy-making.
机译:日本政府一直在实施一项研究计划,旨在理顺科技创新决策的过程。这部分是要建立一个创新的数据库平台,一直在进行自2011年该项目的主要目标是促进科学,技术和创新政策的实证定量研究可以使系统数据的项目。本文介绍了该项目的目标,什么结果数据的基础设施可能带来。通过过去的活动中获得的分析报告,以及。什么是看重公共教育和高等教育部门正在为文献计量学数据库,从科研产出的定量分析的有力方法。该项目旨在消除在创建数据的方式不同而产生的数据(宏,女中音和微)的各个层面之间的分工,并在它们之间建立联系,我们称之为“上下联动”,其对上连接能力并降低数据的水平。该项目还强调“横向联系”,或文献计量学与非文献计量数据之间的联系,如R&d和科研经费数据。在商业领域,这是其他关键领域,该项目的重点是不同的数据集之间建立相互联系,主要包括创新活动,知识产权(IPR)的活动,并投资在专利和企业数据,以及数据R&d和无形资产。最大的障碍在形成专利数据的组织由不同的公司持有的谎言各种数据之间的这种相互联系克服,这将要求对被称为“数据清洗”,如文献计量数据的情况下的处理任务。由于这些努力,开发数据库的启动至今,近三年过去了。该数据库已经上市,并已被用于政策研究人员。接下来的挑捧杯是如何利用对政策制定这样的研究成果。

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