Data cleaning is an important step in any data-driven research project. Often data is harvested from diverse sources such as the web, databases, spreadsheets, text files, and countless other places. Before it is cleaned, “messy” data can suffer from a host of problems, including inconsistent encodings, formats, and missing values to name just a few. This workshop will explain how to clean a dataset using OpenRefine. OpenRefine is a tool designed to make the task of data cleaning easy. We will learn how to use OpenRefine as well as talk generally about the process of data cleaning. Register here.