- Scientific Computing and Data Management
- Research Data Management Practices
- Biomedical Text Mining and Ontologies
- Data Quality and Management
Leibniz Institute for Prevention Research and Epidemiology - BIPS
2024
<sec> <title>BACKGROUND</title> Despite wide acceptance in medical research, implementation of the FAIR principles (Findability, Accessibility, Interoperability, Reusability) is lacking certain health domains and interoperability across data sources remains a challenge. While clinical trial registries collect metadata about studies, numerous epidemiological public studies examining chronic disease burden remain unregistered or missing detailed information relevant study documents. Making...
Introduction: The German Central Health Study Hub is a service that was initially developed at short notice during the COVID-19 pandemic. Since then, it has been expanded in scope, content, active users and functionality. aimed two main audiences: data provider consumers. former want to share research from clinical, public health epidemiological studies related documents according FAIR criteria for data, latter find ultimately reuse relevant above areas. Methods: connects both groups via...