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.

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.