Build a community of data scientists to collaborate on the CHAOSS Data Science Initiative.
We will collaborate with data scientists and researchers to shape how we understand open source community health and make it easier for people to use CHAOSS tools, metrics, and metrics models to draw meaningful insights that they can use to improve open source project health using data science-based approaches.
Anyone interested in data science and data analysis can join. You don't need to be an expert or know how to perform advanced techniques, like machine learning or artificial intelligence. We welcome data scientists, data analysts, researchers and others with an interest in data.
This is a working group within the CHAOSS project to support our Data Science Initiative.
A section guiding the user on how to join the working group.
- Agenda/Meeting-Minutes
- Join us in the #wg-data-science channel within the CHAOSS Slack Workspace.
- Learn on the Participate page on the website
We follow the CHAOSS Code of Conduct
The CHAOSS Data Science Working Group drives a set of Practitioner Guides to help people understand how to interpret the data about an open source project to develop insights that can help improve the project health of an open source project. The are designed for Open Source Program Offices (OSPOs), project leads, community managers, maintainers, and anyone who wants to better understand project health and take action on what they learn from their metrics.
If you are interested in contributing to the practitioner guides, you can find more details in the practioner-guides folder here in the repo.
See the CONTRIBUTING.md for more info.
Link to contributors listed on the website.
See LICENSE file.
Copyright © CHAOSS, a Linux Foundation Project