Open and Reproducible Research - an interactive workshop

Openness in research is gaining momentum—funders, journals, and institutions increasingly prioritize Open Science. But why is that, and what does this shift mean for you? How can you get up to speed on open data, open code, open access, preregistration, data management plans, and more? Practicing Open Science can be challenging, and researchers often struggle with where to begin (or with wanting to be perfect right away). This interactive workshop is designed to meet you where you are and help you take meaningful steps toward greater openness in research. As statisticians, we have a unique perspective on Open Science, as many of its goals—such as transparency, reproducibility, and rigor—align with statistical principles. Our expertise in data analysis, study design, and methodology makes us key players in addressing the very challenges Open Science seeks to solve. Join us as we explore practical, achievable strategies for incorporating Open Science into your workflow. We’ll cover essential best practices such as organizing files and folders effectively, naming conventions, keeping good documentation, developing plans, and more. Whether you’re just starting out or looking to refine your approach, this workshop will provide actionable insights to help you navigate the evolving landscape of Open Science. There are no prerequisites for this workshop.