Basics of Transparent and Robust Research Practices Slide deck

This presentation discusses what transparency, robustness, openness, and reproducibility mean and why they matter for data quality. In the more practical part, we will cover some relevant computer literacy essentials and, e.g., talk about operating and file systems, as well as character encoding. We will also cover the basics of good coding practice, such as commenting, formatting, functions, etc. This presentation is the first part of a set of presentations on the topic of "Tools and Workflows". Presentation available after free registration: https://elearning.gesis.org/course/section.php?id=1366