Repository for Processing French Funding Data

In this repository, we process French funding data by adding information about partner organizations and affiliated persons.

Setup Instructions

To use it, first, create a .env file in the root directory and add authorization access. Then, there are three options:

1. Run the notebook process_and_send_data_details.ipynb

Run the notebook with all the details of the code, step by step. When using the Jupyter notebook, select the data source (ex: ANR, ANSES...) at the beginning, and then execute each cell to obtain a standardized format for one source at a time.

2. Run the Flask application locally

• In an IDE, execute: // python projects_partners_flask_app.py
• Then, visualize the data at http://127.0.0.1:5000/process?source=, followed by the data source (ex: ANR, ANSES...).

3. Run the Flask application remotely

• [blabla]