The CFDE Workbench: Integrating Metadata and Processed Data from Common Fund Programs

Area of Science:

• Biomedical Informatics
• Data Science
• Genomics

Background:

• The NIH Common Fund (CF) program aims to improve data accessibility and interoperability.
• Diverse data types from CF programs require harmonization for collaborative research.
• The CFDE Data Resource Center (DRC) was established to manage CF data.

Purpose of the Study:

• To develop web-based portals for information and data access.
• To create a platform for hosting harmonized metadata and processed data.
• To facilitate cross-program knowledge discovery and accelerate research.

Main Methods:

• Development of the CFDE Workbench, a web-based platform.
• Hosting of processed data, metadata, and tools.
• Implementation of the Cross-Cut Metadata Model (C2M2) and other data formats (XMTs, KG assertions).

Main Results:

• The CFDE Workbench hosts harmonized metadata and processed data.
• Data formats are FAIR (Findable, Accessible, Interoperable, Reusable) and AI-ready.
• Tools and use cases for cross-program knowledge discovery are available.

Conclusions:

• The CFDE Workbench consolidates efforts to make CF resources harmonized, FAIR, and AI-ready.
• The platform supports accelerated scientific discovery by enhancing data accessibility and interoperability.
• The CFDE Workbench promotes collaboration and efficient data utilization.