Imagine trying to solve a puzzle where the pieces come from ten different boxes, all in different sizes and shapes. This project creates a master plan to organize these massive medical data collections so they finally fit together. It makes it easier for researchers to find the right patient data without hitting legal or technical walls.
Medical data is trapped in silos across different countries, making it nearly impossible to conduct large-scale studies. This leads to slower medical breakthroughs and wasted resources due to incompatible data formats and legal hurdles.
A blueprint for a new research infrastructure, including a gap analysis of medical cohorts, a governance plan for data access, and feasibility studies for federated data analysis.
If you are a drug discovery firm dealing with fragmented patient data for rare diseases — this project developed a concept for a research infrastructure that enables federated data analysis. This allows you to analyze large medical cohorts across 10 countries without moving sensitive data.
If you are a medical AI developer dealing with poor data quality and lack of comparability — this project developed a gap analysis and quality measures for large medical cohorts. This helps you identify the most reliable data sources for training stroke or dementia models.
If you are a private hospital network dealing with complex legal barriers to sharing patient registries — this project developed guiding principles for data access and protection policies. This provides a blueprint for safely participating in secondary research studies.
Based on available project data, the financial and operational plan is currently being developed as part of the overarching RI concept; specific pricing is not yet listed.
The project is designed for 'large medical cohorts' and integrates 11 partners including established European infrastructures, suggesting a design intended for continental scale.
Based on available project data, the project focuses on governance plans and data access policies rather than specific software patents or licenses.
The project specifically develops data protection policies and considers ELSI (Ethical, Legal, and Social Implications) to ensure legal compliance across 10 countries.
The project period runs from 2024-01-01 to 2026-12-31, focusing on concept development and feasibility before full implementation.
The consortium is heavily weighted toward research and infrastructure expertise, with 7 research organizations and 3 universities. It leverages the power of established ERIC/ESFRI entities like BBMRI and EBRAINS. While industry representation is low at 8% (1 SME), the 12 partners across 10 countries provide the necessary geographic and legal reach to standardize medical data across Europe.
Contact BBMRI-ERIC in Austria for details on the LMedC infrastructure concept.
Contact us to find out how to align your data strategy with the upcoming LMedC standards.
