Test Zodiac Observatory
Multinational imaging research: anonymise locally, upload securely, collaborate across centres, and develop AI algorithms on curated datasets.
What is ZODIAC?
ZODIAC Observatory enables secure, multinational collaboration on medical imaging datasets and supports AI model development and evaluation.
Clinical and imaging data are expensive to collect but often underused when stored in isolation. For respiratory diseases, and especially during emerging outbreaks, limited access to diverse imaging data can slow research and response.
The ZODIAC Observatory brings institutions together to securely share and harmonise clinical and radiological data, enabling large-scale research, advancing lung imaging analysis, and supporting rapid international collaboration.
The initiative is connected through the International Atomic Energy Agency (IAEA) and fosters international cooperation to enable secure data sharing, harmonised methodologies, and collaborative scientific advancement.
Workflow overview
Four steps, designed to be simple and consistent across centres.
1) Anonymize
De-identify DICOM prior to submission.
2) Upload
Submit anonymised studies to the repository.
3) Govern access
Apply permissions and centre governance.
4) Train & evaluate
Develop algorithms using curated multicentre data.
Platform sections
The parts of the platform users work with most.
Anonymize & upload
Primary entry point for contributors. De-identify DICOM and submit studies to the repository.
Join the project
Data repository
Browse studies, manage access, and review uploaded data in a structured layout.
Join the project
Algorithms
Train and evaluate models on curated multicentre datasets (for research workflows).
Join the project
Guides & policies
User guide, policies, and onboarding materials—easy to find and follow.
Open user guide
Ready to contribute?
Start with anonymisation and upload, or review the guide first.
Participants
Centres contributing to the initiative.