Researchers in Earth System Science (ESS) tackle complex, interdisciplinary challenges that necessitate analysis of diverse data across multiple scales. Robust and user-friendly Research Data Infrastructures (RDIs) are crucial for supporting data management and collaborative analysis, as well as addressing societal issues. This session will explore how RDIs can bridge the gap between user needs and sustainable ESS data solutions by fostering interdisciplinary collaboration and addressing key challenges in data management and interoperability.
We welcome contributions on the following themes:
- User-Centric Infrastructure Development: This includes user stories, storylines and use cases demonstrating the importance of cross-disciplinary and cross-scale data usage, as well as innovative infrastructure concepts designed to meet specific user needs. It also covers methods for developing high-quality user interfaces and portals.
- Interdisciplinary data fusion and stakeholder engagement: We welcome contributions that address how RDI and data centers can facilitate the seamless integration of diverse ESS data in order to tackle complex societal challenges. This includes exploring interdisciplinary data fusion techniques, strategies for engaging different stakeholders, as well as approaches for integrating stakeholder knowledge into RDI development and data management practices.
- Sustainable software solutions and interoperability: This theme focuses on approaches to building and reusing sustainable software solutions that meet the diverse needs of ESS researchers. This includes addressing interoperability challenges between different data sources and platforms and identifying appropriate building blocks. The discussion will also cover operation and sustainability models for diverse ESS data centers, as well as strategies for fostering cooperation and interoperability.
- Transdisciplinary research and public engagement: We welcome contributions exploring how RDIs can support transdisciplinary research into sustainability challenges (e.g., climate change and its impacts, etc.) and facilitate public engagement with ESS issues via initiatives such as citizen science.
- Fostering cultural change and collaboration: This theme focuses on strategies encouraging data sharing, collaboration, and the adoption of the FAIR principles within research communities. It also covers approaches to international collaboration and developing collaborative practices.