These principles guide our data, product, and process decisions, architecture, and approach.
- Open means transparent and participatory.
- We take a modular and modern approach to software development.
- We build open-source software and open-source process.
- We value ease of implementation.
- Fostering community includes building capacity and making our software and processes accessible to participants with diverse backgrounds and skillsets.
- Data (and data science) is as important as software and process. We build open data sets where possible.
- We strive for transparency for algorithms and places we might be introducing bias.
Information on contributing to this repository is available in our Contributing file.
When participating in dbrownell_Common open source community conversations and spaces, we ask individuals to follow the following guidelines:
- Embrace a culture of learning, and educate each other. We are all entering this conversation from different starting points and with different backgrounds. There are no dumb questions.
- Take space and give space. We strive to create an equitable environment in which all are welcome and able to participate. We hope individuals feel comfortable voicing their opinions and providing contributions and will do our best to recognize and make space for individuals who may be struggling to find space here. Likewise, we expect individuals to recognize when they are taking up significant space and take a step back to allow room for others.
- Be respectful.
- Default to positive. Assume others' contributions are legitimate and valuable and that they are made with good intention.
This Community Guidelines was adapted from the United States Digital Service Justice40 open source repository.