Vision#
Problem#
Sensitive epidemiological datasets cannot usually be shared outside the host institution.
This prevents collaboration, reproducibility and rapid analysis.
Solution#
FERRY allows researchers to submit analyses to the institution hosting the data.
The analysis is executed locally within a secure environment.
Only approved outputs leave the institution.
Principles#
Data remains local.
Computation moves to the data.
Human oversight is part of the workflow.
Every action is auditable.
Reproducibility is a first-class goal.
Long-term Vision#
Support federated epidemiological analyses across multiple institutions where:
each institution hosts an independent FERRY instance;
analyses are submitted to multiple sites;
each site executes analyses locally;
only approved aggregate outputs are returned.
The platform should become a reusable infrastructure component for secure collaborative research.