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Research Data Management Skills Development Leveraged by an Open Source Portfolio

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Research Data Management Skills Development Leveraged by an Open Source Portfolio
FOSSY 2023

Research Data Management (RDM) skills are “must-have” skills required of any researcher in any discipline. Recent advances in digital technology have introduced new practices in Open Science and Research Integrity, requiring researchers to continuously develop their skills in systematic ways. This session uses a maturity model represented by rubrics and accessed via an open source e-Portfolio to develop RDM skills in new researchers. The rubrics identify specific skills required to plan for, organize, analyze, publish, and share research data. The e-Portfolio (developed using the Karuta Open Source Portfolio, a project of the Apereo Foundation, https://www.apereo.org/projects/karuta) invites new researchers to provide multimedia evidence demonstrating their RDM skills and accomplishments and to receive feedback on their progress from mentors. The Academic Data and Innovation Unit at Kyoto University is currently developing three types of RDM rubrics for new researchers based on the RDM maturity model and the RDM guide for researchers developed by the California Digital Library: 1. RDM Basic Skills Rubric 2. Discipline-Specific RDM Skills Rubrics 3. Interdisciplinary RDM Skills Rubric for Innovation By pairing these rubrics with the open source ePortfolio system of “Apereo Karuta”, we are creating a program to better prepare new researchers at Kyoto University and other universities in Japan for the emerging RDM requirement of publishing and sharing data along with research results.

Speakers: Shoji Kajita