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RTI’s ResearchNet is a flexible, cloud-enabled backend for Computer Assisted Self Interview (CASI) systems. This platform provides a secure mechanism for managing enrollment, processing consent, and collecting survey data.

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ResearchNet

This document describes the process for running the Researchnet server using docker containers.

Prerequisites

Getting Started

Type this docker-compose up to start the docker containers. Your application will be available via docker IP address on port 8000. If you want to run this outside of docker, just make sure that you have an entry in your /etc/hosts for db that points to your postgressql database . When you have all of that set up you can run python manage.py runserver_plus --settings=config.settings.local.

We're using Django Authention, which means in order to login you'll need to run 'docker-compose run web researchnet/manage.py migrate' and after that 'docker-compose run web researchnet/manage.py createsuperuser'

PRO TIP: Because python is running as a container, anytime you install a module you will have to rebuild the container, which you can do like this: docker-compose build --no-cache.

Documentation

We use MkDocs for our documentation. Just go to the documentation folder and run mkdocs serve. After you do this you can get to the documentation for this project locally here: 'http://127.0.0.1:8000'

Front-end assets

Front-end assets are managed by Bower. You have to run this python manage.py bower install, then python manage.py collectstatic in order to make the dashboard work.

Bugs, new requests or contribution

Please submit bugs, gripes, and feature requests as an issue.

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RTI’s ResearchNet is a flexible, cloud-enabled backend for Computer Assisted Self Interview (CASI) systems. This platform provides a secure mechanism for managing enrollment, processing consent, and collecting survey data.

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