Metadata Management for Data Integration in Medical Sciences - Experiences from the LIFE Study -
LIFE - Leipzig Research Center for Civilization Diseases

Abstract (Expand)

Clinical and epidemiological studies are commonly used in medical sciences. They typically collect data by using different input forms and information systems. Metadata describing input forms, database … schemas and input systems are used for data integration but are typically distributed over different software tools; each uses portions of metadata, such as for loading (ETL), data presentation and analysis. In this paper, we describe an approach managing metadata centrally and consistently in a dedicated Metadata Repository (MDR). Metadata can be provided to different tools. Moreover, the MDR includes a matching component creating schema mappings as a prerequisite to integrate captured medical data. We describe the approach, the MDR infrastructure and provide algorithms for creating schema mappings. Finally, we show selected evaluation results. The MDR is fully operational and used to integrate data from a multitude of input forms and systems in the epidemiological study LIFE.

Authors: Toralf Kirsten, A. Kiel, M. Rühle, J.Wagner

Date Published: 2nd Mar 2017

Publication Type: Not specified

Christoph Beger adminproject_administratorasset_housekeeper

Projects: LHA - Leipzig Health Atlas, Onto-Med Research Group, SMITH - Smart Medical Information Technology for Healthcare, Task Force COVID-19 Leipzig, NFDI4Health, LIFE Child, LIFE - Leipzig Research Center for Civilization Diseases, Project Test Demonstrator

Institutions: Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Universitätsklinikum Leipzig, AöR, invalid

https://orcid.org/0000-0002-1166-0368
Danny Ammon

Projects: SMITH - Smart Medical Information Technology for Healthcare, POLAR - Polypharmacy, Drug Interactions, Risks

Institutions: Universitätsklinikum Jena

https://orcid.org/0000-0001-8960-7316
Toralf Kirsten project_administrator

Projects: LIFE - Leipzig Research Center for Civilization Diseases, LHA - Leipzig Health Atlas

Institutions: Interdisciplinary Center for Bioinformatics (IZBI), Faculty of Applied Computer and Biological Sciences, University of Applied Sciences Mittweida

https://orcid.org/0000-0001-7117-4268

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