Ethics + Responsible Data Science Practices

This resource defines an ethical review process, and shares best practices and lessons learned in responsible data science.

Provided By
Ethics Strategy

Resource Details




This resource explains the importance of incorporating ethical review and responsible data science practices into projects. The post explains how to embed an ethical review process into each stage of the project rather than limiting this work to checkpoints at a project’s beginning , middle, and end. The summary of best practices and lessons learned in responsible data science mirrors DataKind’s six-step project process, and emphasizes their ongoing commitment to continuous improvement with feedback from the broader community.

Do you have feedback on this resource?

Thank you for your feedback as we strive to curate and publish resources to help social impact organizations succeed with data.

Send us a note

Explore More

Related Guides & Resources