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Overview
The Fusion Data Platform (FDP) helps researchers work with fusion experimental and simulation data from start to finish. It combines tools for managing, processing, curating, and publishing data in a scalable, distributed environment. FDP includes components like the Common Metadata Framework (CMF), TokSearch, and the MetaHub portal, which work together to support data reuse, provenance tracking, and reproducible workflows across different fusion experiments.
Why FDP Exists
Fusion research generates a huge amount of diverse data across machines, diagnostics, and simulations. To make the most of this data, researchers need tools that help them organize, process, and share results easily and reproducibly. FDP provides an end-to-end solution that connects data ingestion, curation, analysis, and sharing—all in a way that supports community standards like FAIR (Findable, Accessible, Interoperable, Reusable).
FDP includes tools for version control, metadata capture, workflow execution, and public sharing. Whether you're writing a data pipeline, tagging interesting shots, or searching for results, the platform is built to support that work at scale.
Get Involved
FDP is actively engaging with the fusion research community and welcomes participation from researchers, engineers, and AI/ML specialists.
- Join our early adopter program to help shape FDP's development.
- Contribute workflows and datasets to expand the fusion AI/ML ecosystem.
- Collaborate on AI-driven fusion research using FDP’s scalable tools.
📌 The main data that FDP currently provides efficient access to is DIII-D data. If you are not yet a DIII-D User, you will need to follow the steps here.