https://github.com/ai-readi/dqd-shiny-app

The OHDSI DataQualityDashboard Shiny app packaged as a container for easy deployment

https://github.com/ai-readi/dqd-shiny-app

Science Score: 13.0%

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  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
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  • Scientific vocabulary similarity
    Low similarity (7.1%) to scientific vocabulary
Last synced: 6 months ago · JSON representation

Repository

The OHDSI DataQualityDashboard Shiny app packaged as a container for easy deployment

Basic Info
  • Host: GitHub
  • Owner: AI-READI
  • License: mit
  • Language: HTML
  • Default Branch: main
  • Size: 2.32 MB
Statistics
  • Stars: 0
  • Watchers: 6
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License

README.md

DataQualityDashboard Shiny App

This image contains the Shiny App for the DataQualityDashboard. It is based on the rocker/shiny-verse image.

To build the image, use the following command:

docker build -t dqd-aireadi .

The following command will run the container in the background and serve it on the default port 3838.

docker run -d -p 3838:3838 dqd-aireadi

To access the app, open a web browser window and visit http://localhost:3838 once it is running.

By default, the Shiny app uses the sample results.json from the DataQualityDashboard library. There are a couple methods to define another result source. The first method is to mount the results.json output file from the DataQualityDashboard::executeDqChecks in a volume and set the jsonPath environment variable to its location.

docker run -d -p 3838:3838 \ -v /local/path/to/result.json:/container/path/to/result.json \ -e jsonPath=/container/path/to/result.json \ dqd-aireadi

Alternatively, if the result.json is available from an URL, use the address for the jsonPath environment variable.

docker run -d -p 3838:3838 \ -e jsonPath=https://example.com/result.json \ dqd-aireadi

Owner

  • Name: AI-READI
  • Login: AI-READI
  • Kind: organization
  • Location: United States of America

Organization of the AI-READI data generation project of the NIH-funded Bridge2AI Program

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Dependencies

.github/workflows/docker-image.yml actions
  • actions/checkout v3 composite
Dockerfile docker
  • rocker/shiny-verse latest build
.github/workflows/azure-deploy.yml actions
  • actions/checkout v3 composite
  • azure/aci-deploy v1 composite
  • azure/container-apps-deploy-action v1 composite
  • azure/docker-login v1 composite
  • azure/login v1 composite