Common Fund Data Ecosystem Centers

The NIH Common Fund (CF) programs have produced transformative datasets, databases, methods, bioinformatics tools and workflows that are significantly advancing biomedical research in the United States and worldwide. Currently, CF programs are mostly isolated. However, integrating data from across CF programs has the potential for synergistic discoveries. In addition, since CF programs have a time limit of 10 years, sustainability of the widely used CF digital resources after the programs expire is critical. To address these challenges, the NIH established the Common Fund Data Ecosystem (CFDE) program which has been recently approved to continue to its second new phase. For the second phase of the CFDE five centers were established.
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The Data Resource Center (DRC)

The CFDE Workbench provides data and information portals, that enables users to access CF data, query biological entities, and engage with standardized, FAIR, AI-ready resources for biomedical research collaboration.

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The Integration and Coordination Center (ICC)

The CONNECT ICC enhances CFDE research by streamlining operations, improving data sustainability, and fostering collaboration through expert leadership, Agile management, and innovative evaluation metrics.

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The Cloud Workspace Implementation Center (CWIC)

The CFDE Cloud Workspace enables researchers to analyze, integrate, and share data with powerful tools, fostering collaboration and accelerating discoveries through free computational resources and training.

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The Training Center (TC)

The CFDE Training Center will expand data accessibility by providing tailored training, mentoring, and outreach, fostering a diverse learning community to enhance biomedical research and data use.

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The Knowledge Center (KC)

The CFDE KC aims to present scientifically valid knowledge produced by CF projects through both (a) careful knowledge extraction, by ensuring that each edge in the KG is either a primary experimental finding or the result of an expert-applied analysis, and (b) careful knowledge presentation, by building a portal that de-emphasizes general-purpose graph traversal in favor of single-purpose visualizations.