Conception and Development of a Metadata Search Portal Based on the Data Dictionary Minimal Information Model (DDMIM)
Leslie Diana Wamba Makem1,2, Abishaa Vengadeswaran1, Dupleix Achille Takoulegha2
1Goethe University Frankfurt, University Medicine, Institute of Medical Informatics (IMI), Frankfurt am Main, Germany.
Studies in Health Technology and Informatics
|September 3, 2025
Summary
A new metadata search portal, based on the Data Dictionary Minimal Information Model (DDMIM), improves health data discoverability and interoperability. This facilitates better integration and utilization of medical data for research and clinical applications.
Area of Science:
- Health Informatics
- Data Science
- Medical Research
Background:
- Metadata heterogeneity poses a significant challenge in the healthcare sector.
- The Data Dictionary Minimal Information Model (DDMIM) is developed to enhance interoperability between diverse data standards and dictionaries.
- Facilitating seamless metadata exchange is crucial for effective health data management.
Purpose of the Study:
- To present the design and development of a metadata search portal.
- The portal is based on the DDMIM specification to enhance health data discoverability and accessibility.
- A key objective is to improve interoperability across different health datasets.
Main Methods:
- A literature review was performed to identify relevant existing metadata repositories.
- Metadata from various sources were mapped and transformed into the DDMIM format.
- Requirements for a prototype search portal integrating diverse public metadata repositories were evaluated.
Main Results:
- A DDMIM-based search portal effectively integrates heterogeneous metadata sources.
- The portal significantly improves the ability to find relevant health datasets.
- Demonstrated capability to consolidate disparate metadata into a unified, searchable format.
Conclusions:
- The developed portal supports the integration of heterogeneous metadata, aligning with FAIR principles.
- Optimizes the utilization of health data for both research and clinical applications.
- Addresses critical challenges in medical data integration and utilization, promoting data-driven healthcare advancements.
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