Summary
Summary: Authors create a guide and associated checklists and toolkits that focus on the often hidden or subtle ways that data analysts and communicators fail to incorporate equitable awareness in the data they use and the products they create.
Recommendations are not one-size-fits-all and should be adapted to the particular needs of a project and organization. Outlined principles are a starting point for people to think more carefully and critically about how to embrace equity and inclusion through the data pipeline of creation, analysis, and communication. Rather than dictating the right or wrong approach, authors urge analysts and data communicators to be aware of the decisions they have made and know why they made those decisions.
The report cites California Health Interview Survey (CHIS) methodology.
Read the Publication: