Research Reproducibility and Data Management with R

In the rapidly evolving research landscape, characterized by the increasing prevalence of open science practices, data intensive methodologies, and computational approaches, ensuring the reproducibility and transparency of research outcomes is vital. The aim of this hands-on workshop is to empower participants with the knowledge and practical skills required to implement data management practices and cultivate reproducible research practices within the RStudio environment. Leveraging the capabilities of R and RStudio, the workshop will delve into various aspects of research reproducibility and data management, emphasizing literate programming, project workflows, and an array of R packages to support data management and reproducibility efforts. Participants can expect to gain an increased understanding of how R and RStudio can serve as instrumental tools in fostering transparent, reproducible, and reusable research.