Nationalen Metadata Repositories (NMDR)
The strategic goal of this DFG project is to establish a collaborative, quality-assured, neutral, permanent, free and accessible metadata register for clinical and epidemiological research in Germany. The mentioned categories are the result of a requirements analysis, which was carried out within the TMF project "Community-Evaluation MDR".
Selected publications
- Kern J, Tas D, Ulrich H, Schmidt EE, Ingenerf J, Ückert F, Lablans M: A Method to Use Metadata in Legacy Web Applications:
The Samply.MDR.Injector. Stud Health Technol Inform. 2018;253:45-49. - Kock-Schoppenhauer AK, Ulrich H, Wagenzink S, Duhm-Harbeck P, Ingenerf J, Neuhaus P, Dugas M, Bruland P:
Compatibility Between Metadata Standards: Import Pipeline of CDISC ODM to the Sam-ply.MDR. Stud Health Technol
Inform. 2018;247:221-225. - Ulrich H, Kock-Schoppenhauer AK, Andersen B, Ingenerf J: Analysis of Annotated Data Models for Im-proving Data Quality.
Stud Health Technol Inform. 2017;243:190-194. - Ulrich H, Kock AK, Duhm-Harbeck P, Habermann JK, Ingenerf J: Meta-data Repository for Improved Data Sharing and Reuse
Based on HL7FHIR. Stud Health Technol Inform. 2016; 228:162-6. 
Project Team
M.Sc. B. Andersen
 B.Sc. K. Riech
 Prof. Dr. J. Ingenerf

- Research
 - AI und Deep Learning in Medicine
 - Medical Image Processing and VR-Simulation
 - Integration and Utilisation of Medical Data
 - Sensor Data Analysis for Assistive Health Technologies
 - Medical Image Computing and Artificial Intelligence
 - Medical Data Science Lab
 - Medical Deep Learning Lab
 - Junior Research Group Diagnostics and Research of Movement Disorders
 - Former Medical Data Engineering Lab
 
Contact person
        Josef Ingenerf
        
        
            
            
        
        
            Retired Professor
        
    
    
    
        josef.ingenerf(at)uni-luebeck.de
        
    
    
