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★Invited Papers

Open and FAIR sciences in transdisciplinary education

The Muscat Declaration on Global Science (2025) advocates "free and open knowledge sharing" and promotes a transformation in the higher education institutional environment by equipping future scientists globally with the necessary transdisciplinary knowledge, tools, and skills to tackle urgent and complex societal and environmental issues." However, there is a challenge in educating open and FAIR (Findable, Accessible, Interoperable, and Reusable) scientific data sharing because the data sharing behavior could vary among the research domains and industries, and it is particularly difficult in transdisciplinary research to bridge different sectors for tackling real-world issues. This paper discusses how to close a gap between open and FAIR science and transdisciplinary research, with special attention to the conceptual framework of ethical, legal, and social issues (ELSI) and distributive justice.

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.

Advancing Open and FAIR Sciences: strategies, infrastructures, practices, and communities

JpGU-AGU Joint Meeting 2026

Presentation Information

[U04-12]Open and FAIR sciences in transdisciplinary education★Invited Papers

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