These principles, taken together, describe the most effective, ethical, and modern approach to data teamwork.

- Use data to improve life for our users, customers, organizations, and communities.

- Create reproducible and extensible work.

- Build teams with diverse ideas, backgrounds, and strengths.

- Prioritize the continuous collection and availability of discussions and metadata.

- Clearly identify the questions and objectives that drive each project and use to guide both planning and refinement.

- Be open to changing our methods and conclusions in response to new knowledge.

- Recognize and mitigate bias in ourselves and in the data we use.

- Present our work in ways that empower others to make better-informed decisions.

- Consider carefully the ethical implications of choices we make when using data, and the impacts of our work on individuals and society.

- Respect and invite fair criticism while promoting the identification and open discussion of errors, risks, and unintended consequences of our work.

- Protect the privacy and security of individuals represented in our data.

- Help others to understand the most useful and appropriate applications of data to solve real-world problems.

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