Work

PHEMS Bulletin Issue 1: Federated Data Networks

Year: 2025

Type: article

Abstract: Pediatric clinical research is currently constrained by limited access to comprehensive, high quality, real-world data. This issue is especially pressing in the case of rare and complex diseases, where small patient populations are distributed across multiple countries. Traditional data-sharing models face increasing legal and logistical challenges, particularly under strict data protection regulations such as the General Data Protection Regulation (GDPR). Federated Data Networks (FDNs) offer a compelling solution to this challenge, enabling cross-border and cross-institutional research collaboration while preserving data privacy and institutional control.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17085863

Author: PHEMS

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Partnerships for the goals

Open Access status: green

Funders: UK Research and Innovation, European Commission

Awards: Pediatric Hospitals as European drivers for multi-party computation and synthetic data generation capabilities across clinical specialties and data types, G4304090061, G5392681254