JpGU-AGU Joint Meeting 2026

Session information

[E] Poster

U (Union ) » Union

[U-04] Advancing Open and FAIR Sciences: strategies, infrastructures, practices, and communities

Tue. May 26, 2026 5:15 PM - 7:00 PM Poster Hall (Exhibition Hall 7&8, Makuhari Messe)

Open Science is a recent research paradigm accelerating scientific innovation, being shaped by a long maturation through international collaborations, alliances, publications, and agreements for two decades. Open Science is commonly referred to as the top-down policies making results of publicly-funded research freely available and accessible, but it is also referred to as community-supported bottom-up approaches, such as citizen science, crowdfunding, and interdisciplinary research. Other stakeholders (research institutions, funding agencies, scientific editors, etc) are also fostering Open Science by using tools like data management plans, data citation, and the use of persistent identifiers (PIDs). All these approaches envision the transformation of the research process and academic research ecosystem that complies with the FAIR (Findable, Accessible, Interoperable, and Reusable) Principles. Based on the outcomes from the previous sessions at the JpGU and AGU conferences since 2018, this session reviews the current broad spectrum of Open Science in international contexts, with a particular focus on the latest advances. The session welcomes a wide range of papers and posters covering (but not limited to) open research data, open source licenses, data papers and journals, data repository, application of Machine Learning or Artificial Intelligence to data preparation and sharing, e-infrastructures and platforms for sharing data, scientific cloud infrastructures, linked data and semantics, FAIR principles, PIDs, data management, citizen science, crowdsourcing, crowdfunding, transdisciplinary research, capacity building, international networking, and deployment in earth, space and planetary sciences.

5:15 PM - 7:00 PM

*Masayoshi Kozai1, Yoshimasa Tanaka1, Shuji Abe2, Yasuyuki Minamiyama3, Atsuki Shinbori7, Qi Zhang1, Akira Kadokura1, Toshiki Shimbaru4, Naoto Kai5, Hayato Tomisu6, Tomoki Yoshihisa6 (1. Joint Support-Center for Data Science Research, Research Organization of Information and Systems, 2. International Research Center for Space and Planetary Environmental Science, Kyushu University, 3. Institute of Social Science, The University of Tokyo, 4. Faculty of Medical Science, Fukuoka International University of Health and Welfare, 5. D3 Center, The University of Osaka, 6. Graduate School of Data Science, Shiga University, 7. Institute for Space-Earth Environment Research, Nagoya University)

5:15 PM - 7:00 PM

*Yoshimasa Tanaka1,2,3, Shuji Abe4, Atsuki Shinbori5, Satoru UeNo6, Shun Imajo7, Masahito Nose8 (1. National Institute of Polar Research, 2. Polar Environment Data Science Center, ROIS-DS, 3. The Graduate Institute for Advanced Studies, SOKENDAI, 4. International Research Center for Space and Planetary Environmental Science, Kyushu University, 5. Institute for Space-Earth Environment Research (ISEE), Nagoya University, 6. Astronomical Observatories, School of Science, Kyoto University, 7. Data Analysis Center for Geomagnetism and Space Magnetism, Graduate School of Science, Kyoto University, 8. School of Data Science, Nagoya City University)

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