Open Science Workflow: Open Data, Code, Materials

Open Science creates an opportunity for researchers to improve their workflow and numerical reproducibility of their results. This short presentation will preview tools they can use along the research process from data collection to publication. They include version control, generating synthetic data that can be publicly shared with the world, creating R packages to facilitate dissemination of results and increase research impact, and automation with Make. Together, these tools offer more transparency both between co-authors of a project but also to the research community in general. The goal is to motivate more academics to learn more about these practices and start using them too!