ietoolkit: How DIME Analytics develops Stata code from primary data work

Over the years, the complexity of data work in development research has grown exponentially, and standardizations for workflows are needed for researchers and data analysts to work simultaneously on multiple projects. -ietoolkit- was developed to standardize and simplify best practices for data management and analysis across the 100+ members of the World Bank's Development Research Group, Impact Evaluations team (DIME). It includes a standardized project folder structure; standardized Stata 'boilerplate' code; standardized balance tables, graphs, and matching procedures; and modified dropping and saving commands with built-in safety checks. The presentation will outline how the -ietoolkit- structure is meant to serve as a guide for projects to move their data through the analysis process in a standardized way, as well as offer a brief introduction to the other commands. The intent is for many projects within one organization to have a predictable workflow, such that researchers and data analysts can move between multiple projects and support other teams easily and rapidly without expending time relearning idiosyncratic project organization structures and standards. These tools are developed open-source on GitHub and available publicly.