ESSI3.1 | Collaborations Towards an Integrated Research Data Infrastructure supporting Open Science
EDI
Collaborations Towards an Integrated Research Data Infrastructure supporting Open Science
Co-organized by ERE1/GI2, co-sponsored by AGU and JpGU
Convener: Martina Stockhause | Co-conveners: Danie Kinkade, Yasuhiro Murayama, Alba Brobia

Addressing global environmental and societal challenges requires interdisciplinary, data-driven approaches. Today’s research produces unprecedented volumes of complex data and an increasing number of interactive data services, putting traditional information management systems to the test. Collaborative infrastructures are challenged by their dual role of advancing research and scientific assessments while facilitating transparent data and software sharing.

We invite abstracts from all data stakeholders that highlight innovative platforms, frameworks, systems, and initiatives designed to enhance access and usability of data for research on topics such as climate change, natural hazards, sustainable development, etc. We welcome presentations describing collaborations across national and disciplinary boundaries on infrastructure, standards, governance, best practices, and future directions for building trustworthy and interoperable data networks, guided by UNESCO’s Open Science recommendations, the FAIR and CARE data principles, that enable researchers worldwide to address pressing global problems through data.

Addressing global environmental and societal challenges requires interdisciplinary, data-driven approaches. Today’s research produces unprecedented volumes of complex data and an increasing number of interactive data services, putting traditional information management systems to the test. Collaborative infrastructures are challenged by their dual role of advancing research and scientific assessments while facilitating transparent data and software sharing.

We invite abstracts from all data stakeholders that highlight innovative platforms, frameworks, systems, and initiatives designed to enhance access and usability of data for research on topics such as climate change, natural hazards, sustainable development, etc. We welcome presentations describing collaborations across national and disciplinary boundaries on infrastructure, standards, governance, best practices, and future directions for building trustworthy and interoperable data networks, guided by UNESCO’s Open Science recommendations, the FAIR and CARE data principles, that enable researchers worldwide to address pressing global problems through data.