[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:
- RADx Radical (RADx-rad)
- RADx Digital Health Technologies (RADx-DHT)
- RADx Tech (RADx-TECH)
- RADx Underserved Populations (RADx-UP)
The radx-kg links the following assets:
- Funding Opportunities
- Grants
- Researchers(PIs)
- Researchers(coauthors)
- Organizations
- ResearchInitiatives
- Publications (primary)
- Publications (secondary)
- Datasets
- Software
- Patents
- Presentations
- Events
Click on the images below for a higher-resolution view.
Figure 1: The metagraph shows the relationships among the nodes (digital assets).
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.
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
AMIA 2024 Notebook AMIA-2024.ipynb
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 |
RADx-Rad Discoveries & Data: Consortium Coordination Center (DCC), RADx Digital Assets Knowledge Graph (radx-kg), Available online: https://github.com/radxrad/radx-kg (2023).
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)