Linking multi-disciplinary data with webODV
Understanding the Earth System in its full complexity requires more than just single-discipline observations — it demands integrated, multi-disciplinary data analysis. Whether examining the dynamics of marine plankton blooms, tracking the oceanic and terrestrial uptake of atmospheric CO₂, or tracing the fate of pollutants across the air, sea, and soil, modern environmental challenges call for unified approaches to data access and interpretation.
In this webinar, we spotlight the latest advancements in Ocean Data View (ODV) and its powerful browser-based counterpart, webODV. Participants will discover how these tools simplify access to a vast array of high-quality environmental datasets and support seamless data exchange through intuitive copy/paste workflows.
As part of the FAIR-EASE project, webODV is revolutionising how researchers interact with complex data. Developed by the Alfred Wegener Institute, webODV brings three decades of ODV expertise into a fully online environment, removing the need for software installations while preserving powerful analytical capabilities.
What you'll learn:
- How to navigate and use the latest ODV and webODV features for environmental data analysis
- Techniques for creating, combining, and visualising multi-disciplinary datasets
- Best practices for using browser-based tools to ensure reproducibility and collaboration
Why it matters:
webODV bridges between disciplines, enabling efficient, collaborative, and transparent research. By eliminating technical barriers and promoting open science, webODV plays a central role in building a more connected and informed scientific community.
Join us to explore how ODV and webODV can elevate your research, simplify your workflows, and support your journey toward FAIR and interdisciplinary science.
AGENDA | |
15:00 - 15:05 | Welcome & Housekeeping |
15:05 - 15:20 | Environmental datasets on webODV Servers (Reiner Schlitzer and Sebastian Mieruch) |
15:20 - 15:30 | Live Demo: Using webODV (Reiner Schlitzer) |
15.30 - 15.45 | Live Demo: Linking multi-disciplinary data (Reiner Schlitzer) |
15:45 - 16:00 | Q&A and Panel Discussion |
