EOSC4Cancer has delivered a tightly integrated set of technical results addressing key challenges along the cancer patient journey. Real-world use cases drove the development of interoperable tools and workflows for data discovery, access, harmonisation, and analysis, targeting bottlenecks in the cancer research data ecosystem.
To support uptake, the project produced publicly available best practices, recommendations, and a Roadmap for the Future of the European Cancer Data Landscape, an actionable vision co-developed with diverse stakeholders to guide the creation of a federated, privacy-aware, clinically relevant data ecosystem.
EOSC4Cancer extended RDMkit with a cancer-specific page offering tailored FAIR data guidance for oncology, covering data types such as genomics, imaging, and clinical records. Hosted by ELIXIR, it will be maintained through regular community-driven updates.
The project also initiated the harmonisation of screening data, producing a codebook of 55 elements for colorectal cancer screening. This lays the foundation for cross-border comparability and reuse, with next steps focused on broader validation and alignment with HL7 and other initiatives.
Technical demonstrations include a Beacon v2 prototype for federated genomic data discovery, tested on colorectal cancer use cases, and a pan-European metadata catalogue (Data Resources Map), which enables the alignment of heterogeneous datasets.
For clinical decision support, EOSC4Cancer developed two complementary trial-matching tools: TrialMatchAI (AI-based automatic matching) and the MCTM module in the MTBP (manual curation). These systems enhance the integration of molecular data into clinical decision support systems (CDSS) workflows.
EOSC4Cancer prioritised the enhancement and alignment of existing tools and infrastructures, avoiding duplication and demonstrating the value of building on proven platforms. This strategic approach establishes a robust foundation for future initiatives, including UNCAN-Connect, and supports the evolution of Europe’s cancer data-sharing ecosystem.
