Six data analysts with expertise in public education agencies across the country have teamed up to write a new volume for the Education Data Done Right (EDDR) series.

Following the success of the first volume in this series, which covered missing elements critical to success in building data capacity in education agencies, this new volume showcases applied data science strategies and lessons learned in agencies across the country. New chapters explain how to document work to ensure continuity of operations, navigate data governance, and ensure transparency and reproducibility of agencies’ important work; how early warning systems can be useful in agencies’ work; and why self-awareness of how identities shape the work is one of the most important skills data analysts must have.

Written by Dorothyjean Cratty, LaCole Foots, Wendy Geller, Jared Knowles, Justin Meyer, and Ellis Ott, this new volume covers education data science strategies and lessons with a perspective only possible from authors who’ve been in the trenches and gotten the work done. The series is intended for education agency data analysts, and data managers, strategists, and leaders seeking to improve how their agency operates. Many education agency data analysts come from a social science research background and the transition to work inside agencies can come with a lot of new challenges. This series is a guide through those challenges.