Analyzing Distributed Medical Data in FAIR Data Spaces

ACM Web Conference (WWW), pp. 1480–1484

Abstract

The exponential growth in data production has led to increasing demand for high-quality data-driven services. Additionally, the benefits of data-driven analysis are vast and have significantly propelled research in many fields. Data sharing benefits scientific advancement, as it promotes transparency, and collaboration, accelerates research and aids in making informed decisions. The European strategy for data aims to create a single data market that ensures Europe’s global competitiveness and data sovereignty. Common European Data Spaces ensure that data from different sources are available in the economy and society, while data providers (e.g., hospitals and scientists) control data access. The National Research Data Infrastructure for Personal Health Data (NFDI4Health) initiative is a prime example of an effort focused on data from clinical trials and public health studies. Collecting and analyzing this data is essential to developing novel therapies, comprehensive care approaches, and preventive measures in modern healthcare systems.

Authors 5

1. Mehrshad Jaberansary

   University of Cologne · University Hospital Cologne

   Affiliation as printed

   Institute for Biomedical Informatics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany

2. Macedo Maia

   Leipzig University

   Affiliation as printed

   Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Leipzig University, Germany

3. Yeliz Üçer Yediel Aachen Fraunhofer Institute for Applied Information Technology Germany and Information Systems and Database Technology Research Group

   Fraunhofer Institute for Applied Information Technology · RWTH Aachen University

   Affiliation as printed

   Fraunhofer Institute for Applied Information Technology (FIT), Germany and Information Systems and Database Technology Research Group, RWTH Aachen University, 52062 Aachen, Germany, Germany

4. Oya Beyan

   University of Cologne · Fraunhofer Institute for Applied Information Technology · University Hospital Cologne

   Affiliation as printed

   Institute for Biomedical Informatics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany and Fraunhofer Institute for Applied Information Techniques (FIT), Germany

5. Toralf Kirsten

   Leipzig University

   Affiliation as printed

   Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Leipzig University, Germany