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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

CoMetaR: A Collaborative Metadata Repository for Biomedical Research Networks.

Mark R Stöhr¹, Gudrun Helm¹, Raphael W Majeed¹

¹UGMLC, German Center for Lung Research (DZL), Justus-Liebig-University, Giessen, Germany.

Studies in Health Technology and Informatics

|January 4, 2018

Summary

The German Center for Lung Research developed CoMetaR, a collaborative platform for managing metadata. This tool creates a unified ontology to enable consistent data queries across the research network.

Keywords:

Intersectoral Collaboration Metadata Terminology

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Area of Science:

* Respiratory disease research
* Biomedical informatics
* Data management

Background:

* The German Center for Lung Research (DZL) is a network dedicated to advancing respiratory disease research.
* Performing comprehensive, consortium-wide data queries necessitates a standardized conceptual framework.
* Existing terminologies are insufficient to cover the full spectrum of concepts within the DZL.

Purpose of the Study:

* To establish a unified and comprehensive ontology for respiratory disease research concepts.
* To develop a collaborative platform for metadata management, named CoMetaR.
* To facilitate consistent data querying across the German Center for Lung Research network.

Main Methods:

* Development of a collaborative metadata management platform, CoMetaR.
* Implementation of a system for ontology creation and refinement.
* Enabling public browsing and discussion of the ontology.
* Restricting editing capabilities to authenticated users.

Main Results:

* A platform, CoMetaR, has been successfully developed for collaborative ontology management.
* The platform supports the creation of a broadly accepted and complete ontology.
* It provides a single interface for consortium-wide data queries.
* The system allows for open discussion and controlled editing of the ontology.

Conclusions:

* CoMetaR provides a robust solution for developing a unified ontology in respiratory research.
* The platform enhances data integration and query capabilities within the DZL.
* Collaborative metadata management is crucial for large-scale research networks.