Collaboration on Open Data Science Projects: Glossary

Open Science practices aims to transform research by making it more reproducible, transparent, reusable, collaborative, accountable, and accessible to society

Make your data and code available to others

Make your analyses reproducible

Make a sharp distincion between exploratory and confirmatory research

Git provides a way to track changes in your project.

Git is a software for version control, and is separate from GitHub.

You can use GitHub to store your project online where you or others can access it from a central repository.

You can use GitHub to store your projects so you can work on them from multiple computers.

To contribute to someone else’s project, you should fork their repository.

All development work should be done on a new branch. Each branch should implement one feature.

Once you’ve implemented a new feature, push to your repository and create a pull request on the original repo.

People who incorporate General Public License (GPL’d) software into their own software must make their software also open under the GPL license; most other open licenses do not require this.

The Creative Commons family of licenses allow people to mix and match requirements and restrictions on attribution, creation of derivative works, further sharing, and commercialization.

People who are not lawyers should not try to write licenses from scratch.

It’s highly recommended to get a digital object identifier (DOI) for your dataset or code