The Earth is a complex and dynamic system shaped by interactions between the atmosphere, oceans, land, and biosphere. Addressing today’s global challenges requires crossing data from multiple disciplines through advanced computational processing. Therefore, demonstrating feasibility should rely on use cases enabled by adapted Virtual Research Environments (VREs) built on multidisciplinary standards. Such examples are essential to move beyond individual efforts and to build a more connected understanding of the Earth System. In this session, we aim to showcase services, infrastructures, and standards that strengthen semantic interoperability and provide integrated Virtual Research Environments (VREs) for Earth and environmental sciences.

With this session we aim at discovering:
• Semantic frameworks and standards that enrich data with annotations, ontologies, and machine-actionable metadata, enabling integration, discovery across disciplines, consistency, and interoperability.
• Virtual Research Environments (VREs) that provide user-friendly, scalable, and standardized platforms for analysing, visualizing, and exploring data collaboratively.
• Training, documentation, to foster adoption of FAIR practices and ensure that services meet scientific and societal needs.
• Strategies for co-design, training, and user engagement that help move from open science to collaborative science.

For each of these points, interdisciplinary use cases illustrating semantics, standards, VREs, and training in your presentation will be particularly valued.
We invite contributions from projects, infrastructures, institutes, associations, and individual researchers showcasing concrete solutions or innovative tools improving semantic interoperability, VRE-powered access, and a FAIR and open ecosystem for Earth and environmental sciences.

We wish to hear during this session about concrete solutions, success stories, and lessons learned, from metadata to working platforms, to inspire the next generation of earth and environmental data science.