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Area of Science:

  • Biomedical Informatics
  • Clinical Data Management
  • Health Data Standards

Background:

  • The Operational Data Model (ODM) is a standard for clinical trial data interchange, including study metadata and participant responses.
  • Existing repositories offer numerous ODM metadata definitions but lack accompanying clinical data due to privacy concerns.
  • Testing systems that support ODM requires realistic clinical data aligned with specific metadata.

Purpose of the Study:

  • To develop a web application for generating synthetic clinical data compliant with ODM standards.
  • To address the need for accessible, realistic clinical data for evaluating ODM-supporting systems and statistical analyses.
  • To facilitate the testing and validation of clinical data management systems.

Main Methods:

  • Developed a web application that accepts an ODM metadata definition as input.
  • Implemented algorithms to generate syntactically correct clinical data, respecting data types and range constraints.
  • Enabled the generation of data for up to one million participants.

Main Results:

  • The application successfully generates valid ODM-compliant clinical data based on uploaded metadata.
  • Generated data adheres to specified data types and range constraints, ensuring data integrity.
  • The tool can produce large datasets efficiently, suitable for comprehensive system testing.

Conclusions:

  • The developed web application, in conjunction with the portal of medical data models, provides a comprehensive solution for testing ODM-supporting systems.
  • This facilitates the evaluation of systems and the feasibility of planned statistical analyses using defined data types.
  • Accessible synthetic clinical data in ODM format enhances the development and validation cycle for clinical trial data management tools.