SRDC’s Ignifyr Engine featured in the DataTools4Heart video series on Key Exploitable Results

What happens to the results of a research project once the funding period ends? For the DataTools4Heart project, the answer lies in a clear plan for exploitation, reuse and long-term sustainability. To share this plan, the project has launched a new video series of short excerpts from its workshop on the Key Exploitable Results (KERs). In the workshop, consortium partners presented the tools, datasets and frameworks developed within the project and discussed how they can be taken up beyond its lifetime.

The second excerpt of the series features A. Anil Sinaci from SRDC, who presents the DataTools4Heart Ignifyr Engine. Built on SRDC’s Ignifyr data integration engine, it transforms patient data held in heterogeneous hospital systems into a common, HL7 FHIR-based data model. This makes the data ready for federated analysis across the project’s clinical sites.

As mapped in the project’s Exploitation Plan and IPR Policy, DataTools4Heart’s results include:

• 24 specialised technical tools, covering data harmonisation, multilingual clinical natural language processing, federated learning infrastructure and synthetic data generation with differential privacy guarantees
• 2 consolidated platform integration systems
• 6 multilingual clinical corpora and a synthetic dataset
• 3 core governance assets supporting semantic interoperability, reproducibility and FAIR-compliant data stewardship

The project’s approach prioritises scientific impact, transparency and community-driven sustainability. The most mature results are expected to follow open dissemination models, complemented by consultancy and service-based exploitation.

DataTools4Heart is a Horizon Europe project coordinated by the Universitat de Barcelona. It brings together 17 partners to build a federated, privacy-preserving cardiology data toolbox. Within the project, SRDC led the work on making patient data from multiple heterogeneous sources available through a unified interface. This included defining the common data model, developing data mappings and extraction pipelines for the pilot hospitals, and FAIRifying datasets.

Follow the series on the project’s LinkedIn page and YouTube channel, and visit datatools4heart.eu for more.

Acknowledgement
This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No. 101057849.