Git Product home page Git Product logo

radxrad / radx-kg Goto Github PK

View Code? Open in Web Editor NEW
1.0 4.0 0.0 18.89 MB

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

Home Page: https://www.radxrad.org/

License: BSD 3-Clause "New" or "Revised" License

Shell 0.02% Jupyter Notebook 99.68% Python 0.31%
radx covid-19 covid-19-data covid-testing covid-surveillance diagnostic-methods datasets knowledge-graph radx-dht radx-rad

radx-kg's Introduction

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)

radx-kg's People

Contributors

pwrose avatar

Stargazers

 avatar

Watchers

 avatar  avatar  avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.