In environmental and climate science, solving complex challenges requires holistic approaches, emphasising the need for effective data integration and interoperability. While these terms may initially sound like buzzwords, they become crucial once a measurement is digitised, and physical phenomena are translated into models, which are eventually encoded into software. As environmental and climate scientists, our expertise is essential in addressing ecological challenges and mitigating climate-related risks. This responsibility extends to our engagement with research- and e-infrastructures that support our excellent science. Just as humans communicate effectively to share insights, machines must seamlessly exchange data. In the era of big data, scientific research demands increasingly advanced methodologies and machine-to-machine (M2M) actionable data and services. Data repositories, High-Performance Computing (HPC) facilities, cloud service providers and other infrastructures empower researchers with more tools and (FAIR) technical solutions to drive scientific process. Currently in Europe a wealth of operational infrastructures such as the Environmental Research Infrastructures (ENVRIs), the European Open Science Cloud (EOSC), and e-Infrastructures like EGI, offer these services, contributing to scientific progress.
This session aims to gather real-world examples from environmental and climate research across multi- and interdisciplinary domains (atmosphere, marine, ecosystems, solid earth), data product developers, data scientists and engineers. You will demonstrate research outcomes, showcase research or scientific development projects, discuss challenges, and propose best practices with successful infrastructure support. We welcome contributions from data-driven research, presenting aspects of data analytics, visualisation, data collection and quality control. We also invite use cases of interoperable infrastructures and enhanced collaborations with cloud services. Experiences from Virtual Access and/or Transnational Access programs, and innovative projects embracing the transformative potential of digital twins are also welcome. Join us as we explore how seamless data sharing and integration are accelerating climate science, enabling faster, more accurate models and solutions to pressing global environmental challenges.