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.
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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 |