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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
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International Clinical Research Data Ecosystem: From Data Standardization to Federated Analysis
Eugenia Rinaldi1, Chiara Dellacasa2, Miroslav Puskaric3
1Berlin Institute of Health at Charité-Universitaetsmedizin Berlin, Germany.
Studies in Health Technology and Informatics
|October 23, 2023
Summary
The ORCHESTRA project harmonized COVID-19 patient data across Europe. This created a data ecosystem for generating new scientific knowledge on the disease.
Area of Science:
- Health Sciences
- Infectious Diseases
- Data Science
Background:
- COVID-19 research requires extensive patient data analysis.
- Data fragmentation across studies hinders comprehensive understanding.
- The HORIZON 2020 ORCHESTRA project aimed to address these challenges.
Purpose of the Study:
- To describe the data management ecosystem established within the ORCHESTRA project.
- To detail the harmonization of European COVID-19 patient data.
- To facilitate the generation of new knowledge on COVID-19.
Main Methods:
- Harmonization of patient data from multiple European COVID-19 clinical studies.
- Mapping study protocols to interoperability standards for a common terminology.
- Utilizing a central database and federated analysis for data insights.
Main Results:
- Established a robust data ecosystem for managing and analyzing harmonized COVID-19 data.
- Enabled identification of common concepts across diverse studies.
- Facilitated both central and federated data analysis approaches.
Conclusions:
- The ORCHESTRA data ecosystem effectively supports COVID-19 research.
- Harmonized data and advanced analysis methods accelerate knowledge generation.
- The ecosystem promotes data sharing and scientific collaboration for infectious diseases.
Keywords:
Clinical researchData managementData transformationFAIR dataFederated data analysisInteroperabilityMore Related Videos
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