Claudia Brünings-Kuppe

ORCID: 0009-0008-8835-6664
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About
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Research Areas
  • 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...

10.2196/preprints.63906 preprint EN 2024-07-02

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...

10.3233/shti240847 article EN Studies in health technology and informatics 2024-08-30
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