This deliverable outlines a comprehensive deployment plan for the IDEA4RC pilot projects focused on rare cancer epidemiology. The primary goal is to enable secure, privacy-preserving environments that facilitate the secondary use of structured and unstructured data across several federated Centres of Excellence (CoEs).
IDEA4RC deployment covers the implementation of advanced technologies such as Natural Language Processing (NLP) algorithms, federated learning, and augmented analytics within a multimodal navigator.
The deployment plan is structured into two main phases: Phase 1, which covers the proof of concept and initial testing, and Phase 2, focused on scaling-up and full implementation.
Throughout these phases, three key milestones are identified. Milestone 1 involves the deployment of the first capsule version with no-personal data. Milestone 2 follows with the deployment of capsule version 2, incorporating real data within a capsule within the CoEs infrastructure. Milestone 3 culminates with the deployment of capsule version 3, which includes the full integration of value-added services and governance mechanisms.
These milestones collectively demonstrate the project’s progression toward a fully functional, secure, and efficient federated data processing ecosystem. Governance, data quality, and adaptable DevOps practices are emphasised to ensure successful execution.
This deliverable also addresses the specific needs of different pilot sites, ensuring flexibility and adaptability to local requirements. The deployment plan is designed to be collaborative and iterative, with continuous support and monitoring through structured communication channels, regular meetings, and webinars.
You can download the document here.