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Knowledge Graph of Digital Assets from the NIH Rapid Acceleration of Diagnostics (RADx) initiative.

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RADx Digital Assets Knowledge Graph

[WORK IN PROGRESS]

The RADx Digital Assets Knowledge Graph (radx-kg) collects and links assets from the National Institutes of Health (NIH) Rapid Acceleration of Diagnostics (RADx®) initiative. The goal of this initiative is to speed innovation in the development, commercialization, and implementation of technologies for COVID-19 testing.

The RADx initiative includes the follwing projects:

The radx-kg links the following assets:

Meta Graph

Click on the images below for a higher-resolution view.

Figure 1: The metagraph shows the relationships among the nodes (digital assets).

Example Subgraphs

Figure 2: Projects supported by the RADx-rad DCC

Figure 3: Subgraph for PI John Cirrito.

Figure 4: Extended Subgraph for PI John Cirrito with paper citations and dataset usages.

Explore the radx-kg

Click on the Open in Colab button below to launch a Jupyter Notebook and run queries on the radx-kg.

RADx-rad Explorer RADx-rad_Explorer.ipynb Open In Colab

AMIA 2024 Notebook AMIA-2024.ipynb Open In Colab

Directories and Files

Directory Description
data Manually maintained files with core information to seed the Knowledge Graph
kg Node and relationship data and metadata files to create the Knowledge Graph
scripts scripts to generate the Neo4j Knowledge Graph

Citation

RADx-Rad Discoveries & Data: Consortium Coordination Center (DCC), RADx Digital Assets Knowledge Graph (radx-kg), Available online: https://github.com/radxrad/radx-kg (2023).

Funding

Development of this application was supported by the OFFICE OF THE DIRECTOR, NATIONAL INSTITUTES OF HEALTH:

RADx-Rad Discoveries & Data: Consortium Coordination Center Program Organization (U24LM013755)