We abide by the highest principles of data stewardship, which reside in "ethical and responsible behaviors for sourcing, sharing and implementing data in a manner that will cause no harm and maximize positive impact." These principles are:
We advocate for an effective, ethical, and modern approach to data teamwork as embodied by these values:
- Fairness - Understand, mitigate and communicate the presence of bias in both data practice and consumption.
- Benefit - Set people before data and be responsible for maximizing social benefit and minimizing harm.
- Openness - Practice humility and openness. Transparent practices, community engagement, and responsible communications are an integral part of data ethics.
- Reliability - Ensure that every effort is made to glean a complete understanding of what is contained within data, where it came from, and how it was created. Extend this effort for future users of all data and derivative data.
We advocate for an effective, ethical, and modern approach to data teamwork as embodied by these values:
- Inclusion - Maximize diversity, connectivity, and accessibility among data projects, collaborators, and outputs.
- Experimentation - Emphasize continuously iterative testing and data analysis.
- Accountability - Behave ethically and transparently, fix mistakes quickly, and hold ourselves and others accountable.
- Impact - Prioritize projects with well-defined goals, and design them to achieve measurable, substantive outcomes.