PlatformTM, a standards-based data custodianship platform for translational medicine research.

Area of Science:

• Biomedical Informatics
• Translational Medicine Research

Background:

• Traditional biomedical informatics in translational medicine (TM) focuses on data collection, storage, and analysis, often overlooking data lifecycle management.
• Emerging emphasis on data reuse, long-term preservation, and sharing highlights a gap in infrastructure for managing the TM data lifecycle between collection and analysis.
• Open science initiatives necessitate a data custodianship environment to enhance the management of TM data assets for improved research reproducibility.

Purpose of the Study:

• To address the need for improved data management in translational medicine research.
• To develop a lifecycle-based methodology and a supporting platform for managing TM data assets.

Main Methods:

• Developed a lifecycle-based methodology for metadata management in TM research.
• Established a metadata management framework utilizing community-driven standards for data standardization, consolidation, and integration.
• Created a new platform, PlatformTM, to manage the data lifecycle for translational research assets.

Main Results:

• A novel lifecycle-based methodology for TM data management has been established.
• A metadata management framework aligned with community standards has been created.
• PlatformTM, a dedicated system for managing the TM data lifecycle, has been developed.

Conclusions:

• Effective management of the TM data lifecycle is crucial for supporting data reuse and research reproducibility.
• The developed methodology and PlatformTM provide essential infrastructure for managing TM data assets.
• This work contributes to fostering a culture of open science in translational medicine research.