A Method to Use Metadata in Legacy Web Applications: The Samply.MDR.Injector

Area of Science:

• Health Informatics
• Computer Science
• Data Management

Background:

• Integrating medical data from diverse sources necessitates robust metadata management.
• Current applications often lack support for externalized metadata, hindering data interpretation.
• Displaying human-readable metadata directly within applications remains a challenge.

Purpose of the Study:

• To propose a novel library for injecting metadata meaning into web-based application frontends.
• To enhance application usability by making them "metadata aware" without modifying existing application code.
• To facilitate better understanding and utilization of integrated medical data.

Main Methods:

• Development of a library designed to interface with web application frontends.
• Implementation of a mechanism to "inject" metadata definitions and context into the user interface.
• Focus on externalizing metadata management rather than altering core application logic.

Main Results:

• A library solution enabling web applications to display human-readable metadata.
• Demonstration of a method to enhance user interface elements with contextual metadata.
• Successful separation of data from its meaning (metadata) for improved data integration.

Conclusions:

• The proposed library offers a practical approach to making web applications metadata aware.
• This solution improves the interpretability of integrated medical data without invasive application changes.
• Enhancing metadata integration is crucial for advancing health informatics and data-driven healthcare.