mdm2neo4j: Generating Graph Representations of Medical Data Models.

Area of Science:

• Health data management
• Medical informatics
• Graph databases

Background:

• Medical sciences generate vast amounts of data crucial for advancing patient care.
• Data and metadata findability are essential for effective medical data analysis.
• The Portal for Medical Data Models offers reusable data forms in CDISC Operational Data Model format, but exploration remains challenging.

Purpose of the Study:

• To present mdm2neo4j, a software tool designed to address the challenge of exploring medical data forms.
• To enable graph-based exploration and complex querying of metadata.
• To improve the findability and retrievability of medical data and metadata.

Main Methods:

• Developed mdm2neo4j software to transform Operational Data Model (ODM) metadata from the MDM portal into a neo4j graph database.
• Utilized graph database technology for enhanced data exploration and querying.

Main Results:

• mdm2neo4j facilitates graph-based exploration of ODM metadata.
• Enables complex queries across linked metadata sets.
• Provides efficient syntax checking for metadata.

Conclusions:

• The mdm2neo4j tool makes ODM metadata easily explorable, findable, and retrievable.
• Demonstrates the growing application of graph databases in health data management.
• Facilitates advanced analysis of medical data for better patient care.