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AutoQ-RWD

This project is called Automated data Quality Metrics Assesment in Real World Data.

It tries to apply metrics derived from the European Medicine Agency (EMA) Quality Metrics and other sources for the Common Data Elements present in a model. In this use case, the model used to retrieve the metrics is the CARE-SM semantic model. These metrics can also be applied to many other data models.

Pre-requisites

  • Python 3.5 or later.
  • Streamlit.
  • CARE-SM model in a read-access repository.
  • Install libraries found in requirements.txt. You can use them with a Python environment running the following code:
python3 -m venv .env
source .env/bin/activate
pip install --upgrade pip
pip install -r requirements.txt

Run

To run the website you need to run:

streamlit run main.py

Congratulations! You can enter to the website in http://localhost:8501.

After you add your CARE-SM repository URL in the first page of the website, the code will do SPARQL queries in your dataset and the page will show your metrics!