Abstract
With the recent Open Science movement and the rise of data-intensive science, many efforts are in progress to publish research data on the web. To reuse published research data in different fields, they must be made more generalized, interoperable, and machine-readable. Among the various issues related to data publishing, the conditions of use are directly related to their reuse potential. We show herein the types of external constraints and conditions of use in research data publishing in a Japanese context through the analysis of the interview and questionnaire for practitioners. Although the conditions of research data use have been discussed only in terms of their legal constraints, we organize the inclusion of the non-legal constraints and data holders’ actual requirements. Furthermore, we develop practical guideline for examining effective data publishing flow with licensing scenarios. This effort can be positioned to develop an infrastructure for data-intensive science, which will contribute to the realization of Open Science.
Highlights
1.1 BackgroundWith the recent Open Science movement and the rise of data-intensive science (Kelling, S. et al 2009), many efforts are in progress to make research results available on the web (Kowalczyk and Shanker, 2011)
Based on the survey and understanding of the conditions of use for research data publishing discussed in the previous Sections, we developed the “Guideline for specifying conditions of use in research data publishing” (Research Data Utilization Forum, 2019) as a tool to help researchers and stakeholders in common understanding and make appropriate publication decisions
There are some famous registry sites such as re3data.org and FAIRsharing, only a limited number of registrations are available in Japan. In light of this background situation, we provide the list of recommended domestic data repositories in cooperation with the Japan Data Repository Network subcommittee under the Research Data Utilization Forum (RDUF)
Summary
With the recent Open Science movement and the rise of data-intensive science (Kelling, S. et al 2009), many efforts are in progress to make research results available on the web (Kowalczyk and Shanker, 2011). The terms and conditions of use must be classified when published data are shared in different fields (OECD, 2015). If the conditions of use for the data are ambiguous or not standardized, it causes an additional cost to interpret or reuse. Minamiyama et al: Investigation and Development of the Workflow to Clarify Conditions of Use for Research Data Publishing in Japan of use often impose additional costs on managing the data. For the data generated by public research funds, we can reach a consensus through data publishing guidelines or policies in each country (ANDS, 2018; CODATA, 2019; RECODE Project Consortium, 2014). There are many research projects using non-public funded data that has more diverse nature and standardization efforts based on the actual situation for conditions of use for research data publishing has not been substantially explored
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