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

The NIH Common Fund Data Ecosystem (CFDE) program was established to facilitate data accessibility and interoperability across multiple Common Fund (CF) programs, promote collaborations and accelerate discoveries by combining diverse data types from different CF programs. The CFDE Data Resource Center (DRC) was tasked with developing two web-based portals: an Information Portal to serve information about the CFDE, and a Data Portal to host harmonized metadata and processed data contributed by participating CF Data Coordination Centers (DCCs) and other sources. To achieve these goals, the CFDE DRC developed the CFDE Workbench, a web-based platform that hosts processed data, metadata, tools, use cases, and analyses developed by the CFDE. The Cross-Cut Metadata Model (C2M2) and several other processed data are hosted by the CFDE Workbench, including set libraries (XMTs), Knowledge Graph (KG) assertions, and attribute tables. These processed data formats make information derived from CF programs more findable, accessible, interoperable, and reusable (FAIR), and artificial intelligence (AI)-ready for cross-DCC knowledge discovery. Besides serving data, metadata, and code assets, the CFDE Workbench has also developed several tools that utilize these resources to enable cross-CF-program knowledge discovery use cases. Overall, the CFDE Workbench is a platform that consolidates efforts toward making CF resources harmonized, FAIR, and AI-ready. The CFDE Workbench website is available from https://cfde.cloud.

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Publication Details

Journal
Journal of Molecular Biology
Published
2026-01-01
DOI
https://doi.org/10.1016/j.jmb.2026.169631
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
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article

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

Giacomo B. Marino, Avi Ma’ayan, Sherry Jenkins, Srinivasan Ramachandran et al.
Journal of Molecular Biology
Research Data Management Practices
article

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

Giacomo B. Marino, Avi Ma’ayan, Sherry Jenkins, Srinivasan Ramachandran, H. Kim, Zhuorui Xie, Nasheath Ahmed, Ido Diamant, S. Subramaniam, Stephanie Olaiya, Daniel J.B. Clarke, Anna I. Byrd, Shivaramakrishna Srinivasan, Sumana Srinivasan, John Erol Evangelista, Mano R. Maurya, Ethan Sanchez
article en

Abstract

The NIH Common Fund Data Ecosystem (CFDE) program was established to facilitate data accessibility and interoperability across multiple Common Fund (CF) programs, promote collaborations and accelerate discoveries by combining diverse data types from different CF programs. The CFDE Data Resource Center (DRC) was tasked with developing two web-based portals: an Information Portal to serve information about the CFDE, and a Data Portal to host harmonized metadata and processed data contributed by participating CF Data Coordination Centers (DCCs) and other sources. To achieve these goals, the CFDE DRC developed the CFDE Workbench, a web-based platform that hosts processed data, metadata, tools, use cases, and analyses developed by the CFDE. The Cross-Cut Metadata Model (C2M2) and several other processed data are hosted by the CFDE Workbench, including set libraries (XMTs), Knowledge Graph (KG) assertions, and attribute tables. These processed data formats make information derived from CF programs more findable, accessible, interoperable, and reusable (FAIR), and artificial intelligence (AI)-ready for cross-DCC knowledge discovery. Besides serving data, metadata, and code assets, the CFDE Workbench has also developed several tools that utilize these resources to enable cross-CF-program knowledge discovery use cases. Overall, the CFDE Workbench is a platform that consolidates efforts toward making CF resources harmonized, FAIR, and AI-ready. The CFDE Workbench website is available from https://cfde.cloud.

Journal of Molecular Biology
University of California San Diego (US), La Jolla Bioengineering Institute (US), Icahn School of Medicine at Mount Sinai (US)
Openalex Percentile: Top 97%
Research Data Management Practices
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