A project devoted to helping academics and researchers provide robust citations and mitigate link rot. Visit rottingresearch.org to see it in action.

Link rot is an established phenomenon that affects everyone who uses the internet. Researchers looking at individual subjects have recently addressed the extent of link rot’s influence on scholarly publications. One recent study found that 36% of all links in research articles were broken. 37% of DOIs, once seen as a tool to prevent link rot, were broken (Miller, 2022).

Rotting Research allows academics and researchers to upload their work and check the reliability of their citations. It extracts all of the links from the document and then checks to see if the link is accessible to the public.

Check out our website at rottingresearch.org.

The status of our services can be observed at status.rottingresearch.org/status/rr.

• Python3 (3.10+)
• Pip3
• Redis

• Set the APP_SECRET_KEY="RANDOM_SECRET_KEY"
• Run the docker container using docker-compose up --build. You can use the -d flag to run the containers in 'detached' mode.
• Open 127.0.0.1:8080 in your browser.

As docker volume is used, any changes made are reflected immediately. To view the container logs you can use docker logs -f rottingresearch. The -f flag is used for following the logs.

• Build the docker image docker build --tag rottingresearch .
• Run image docker run -d -p 8080:8080 rottingresearch

• Clone Repository: git clone https://github.com/rottingresearch/rottingresearch
• Change directory to rottingresearch - cd rottingresearch
• Run source setup.sh - the script will automatically install the packages and setup the environment variables

• Clone Repository: git clone https://github.com/rottingresearch/rottingresearch
• Change directory to rottingresearch - cd rottingresearch
• Install Python Packages: pip3 install -r requirements.txt
• Edit app.py and set app.config['UPLOAD_FOLDER'] to a valid temporary folder.
• Set APP_SECRET_KEY environment variable - setx APP_SECRET_KEY "random"
• Set ENV running environment variable setx ENV "DEV"
• Run redis redis-server
• Set REDIS_URL environment setx REDIS_URL "redis://localhost:6379"
• Run app python3 app.py
• Run Celery worker celery -A app:celery_app worker -B
• Open 127.0.0.1:8080 on your browser.

For our code of conduct, please visit our Code of Conduct page.

This program is licensed with a GPLv3 License.