Title: Learning path for (data) librarians: Technical skills are the bridge to reproducible research

This is a learning path in three parts, on an introductory level aimed at data librarians and others who are curious about how what reproducibility is and how to implement practices that support reproducibility on a beginner level. The first module introduces the concept of reproducibility and why it is important. The second module is concerned with the reproducbility crisis and actions we can take to improve reproducibility. The third module is devoted to putting theory into practice. It combines lectures on best practices and data hygiene in file organisation with hands-on tutorials using Git, Github and Jupyter Notebooks to improve reproducibility in a collaborative environment.

A Github repository contatining learning materials, activities and a facilitation guide can be found via the following link: https://task-4-2.github.io/Technical-Skills-as-bridge-to-reproducible-research/latest/.

Technical skills are the bridge to reproducible research: An introduction for librarians
  Teaching Room
  Announcements
Unit 1: Reproducibility and replicability in scientific research
  What is an original research study?
  Replicability
  Slides_Unit1_20250117
  InstructorNotes_Unit1
Unit 2: The reproducibility crisis and remedies
  Preparatory readings for Unit 2.1. The case of Bri...
  The Case of Brian Wansink
  Evaluation of Unit 1 and Unit 2
  Slides_Unit2_20250117
  InstructorNotes_Unit2
Unit 3: The technical aspects
  Preparation
  Slides_Unit3_20250131
  Activity: Git Blame in Action
  Activity: First Steps with Jupyter Notebooks
  Toolbox
  Evaluation of Unit 3
  InstructorNotes_Unit3