This resource focuses specifically on the ethical aspects of humanitarian data management, ranging from standard exercises such as field-level data collection and processing to more advanced applications of data science, such as predictive analytics. It addresses common ethical concerns with data management, including validity, bias and fairness, and privacy and anonymity.
Related Guides & Resources
Data is a powerful resource that many organizations have but it needs to be managed and stewarded with care. We must ensure that our data practices are in alignment with our overall organizational values, and that we do not increase the vulnerability of the people that we serve.
Resources from Harvard University, DrivenData and +6