Open Science is a researcher-driven movement in which the practice of research is increasingly transparent, collaborative, and continuous. It’s a system of inquiry in which research data, lab notes, and other processes are freely-available under terms that enable reuse, redistribution, and reproduction of research and its underlying data and methods. Broadly, Open Science is a discipline agnostic approach to enhancing the research process through the sharing of knowledge and methods, wider collaboration, and increased rigor. Each workshop in this series introduces a particular theme of Open Science and walks through several tools and resources to help open your own research workflows, regardless of academic discipline. Open Research Data identifies the importance of sharing research data and introduces the tools necessary for transparent reporting that is reproducible and readable. In this workshop participants will learn how to donate data that complies with FAIR data principles to public repositories and quickly identify and select data appropriate for reuse. Researchers will be able to apply a range of resources to devise and implement a workflow for reproducible research including using lab notebooks and tools for sharing code and data.