Development Research in Practice: The DIME Analytics Data Handbook is intended to teach all users of development data how to handle data effectively, efficiently, and ethically. An empirical revolution has changed the face of development research over the last decade. Increasingly, researchers are working not just with complex data, but with original datadata sets collected by the research team itself or acquired through a unique agreement with a project partner. Research teams must carefully document how original data are created, handled, and analyzed.