The purpose of this paper is to survey how research data are governed at repositories in Japan by deductively establishing a governance typology based on the concept of openness in the context of knowledge commons and empirically assessing the conformity of repositories to each type.,The fuzzy-set ideal type analysis (FSITA) was adopted. For data collection, a manual assessment was conducted with all Japanese research data repositories registered on re3data.org.,The typology constructed in this paper consists of three dimensions: openness to resources (here equal to research data), openness to a community and openness to infrastructure provision. This paper found that there is no case where all dimensions are open, and there are several cases where the resources are closed despite research data repositories being positioned as a basis for open science in Japanese science and technology policy.,This is likely the first construction of the typology and application of FSITA to the study of research data governance based on knowledge commons. The findings of this paper provide practitioners insight into how to govern research data at repositories. The typology serves as a first step for future research on knowledge commons, for example, as a criterion of case selection in conducting in-depth case studies.

中文翻译：

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日本存储库如何管理研究数据？知识共享观点

本文的目的是通过在知识共享的背景下基于开放性的概念推导建立一种治理类型，并通过经验评估每种类型的知识库的一致性，来调查日本的知识库如何管理研究数据。设置了理想类型分析（FSITA）。对于数据收集，对在re3data.org上注册的所有日本研究数据存储库进行了手动评估。本文构建的类型包括三个维度：对资源的开放性（此处等于研究数据），对社区的开放性和开放性基础设施供应。本文发现不可能所有尺寸都打开，尽管研究数据存储库已被定位为日本科学技术政策中开放科学的基础，但在某些情况下资源仍处于关闭状态。这很可能是FSITA类型学的首次构建和在研究数据治理研究中的应用基于知识共享。本文的研究结果为从业者提供了有关如何管理存储库研究数据的见识。类型学是将来对知识共享进行研究的第一步，例如，作为进行深入案例研究的案例选择标准。本文的研究结果为从业者提供了有关如何管理存储库研究数据的见识。类型学是将来对知识共享进行研究的第一步，例如，作为进行深入案例研究的案例选择标准。本文的研究结果为从业者提供了有关如何管理存储库研究数据的见识。类型学是将来对知识共享进行研究的第一步，例如，作为进行深入案例研究的案例选择标准。