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首页> 外文会议>Portland International Conference on Management of Engineering & Technology >Japanese government project on innovation database platform — As an infrastructure for improving quality of science, technology and innovation policy
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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：日本政府关于创新数据库平台的项目—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：日本政府一直在执行一项旨在合理化科学技术创新政策制定过程的研究计划。该项目的一部分是自2011年以来一直在进行的创新数据库平台建设项目。该项目的主要目标是提供系统数据，以促进科学，技术和创新政策的实证定量研究。本文描述了该项目的目标以及所产生的数据基础架构可以带来什么。还报告了通过过去的活动获得的见解。公立和高等教育部门所重视的是为文献计量学创建数据库，这是一种对科研成果进行定量分析的强大方法。该项目旨在消除因创建数据的方式不同而导致的每个数据级别（宏，中级和微型）之间的划分，并在它们之间建立链接，我们将其称为“垂直链接”，因为它可以连接上层和较低级别的数据。该项目还强调“水平联系”，即文献计量和非文献计量数据之间的联系，例如有关研发和研究经费的数据。在商业领域，这是另一个关键领域，该项目着重于在不同数据集之间建立相互联系，这些数据集主要包括专利和公司数据，以及有关创新活动，知识产权（IPR）活动和对企业的投资的数据。研发和无形资产。在不同公司持有的各种数据之间形成这种相互联系的最大障碍在于专利数据的组织，这一任务需要一个称为“数据清理”的过程，就文献计量数据而言。自从开始开发数据库以来，已经过去了将近三年的时间。该数据库已经可用，并且已被政策研究人员使用。下一个挑战是如何利用此类研究的结果进行决策。

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