Work

Research Data Management in Medical Data Science:Integrating Multi-Source Data for Cardiological Simulations and Machine Learning: Challenges in Security, Privacy, and Legal Frameworks

Year: 2025

Type: article

Abstract: This presentation was given at the E-Science-Tage 2025 at the University of Heidelberg. It highlighted the potential technical and legal challenges, as well as the benefits, of using electrophysiological models, known as digital twins in biomedical engineering, to generate synthetic data such as electrocardiograms.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15037433

Authors: Singson, Lea Sophie, Becker, Silvia, Silaban, Ely Nova Natalia, Loewe, Axel, Boehm, Franziska

Institutions: FIZ Karlsruhe – Leibniz Institute for Information Infrastructure, Karlsruhe Institute of Technology

Language: English

Topic: Research Data Management Practices

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Leibniz-Gemeinschaft

Award: G7406238935