top of page

Making Research Reproducible

  • Format: In-person or online

  • Duration: Full-Day Workshop

  • Includes: Comprehensive workshop notes and reference materials, access to statistical package and certification of completion

  • In-House Resource: 

​​Moreau et al. (2023), Nature Reviews Methods Primers


This workshop aims to equip researchers, students, and professionals with the necessary skills to ensure their research is reproducible. Reproducibility is a cornerstone of scientific integrity, enhancing the credibility and utility of research findings. The course covers methodologies, tools, and best practices for planning, conducting, and documenting research in a manner that allows others to replicate the results.


Key Topics

  • Fundamentals of Research Reproducibility

  • Designing Reproducible Studies and Experiments

  • Statistical Methods for Reproducibility

  • Tools and Technologies to Facilitate Reproducible Research (e.g., R, Python, Git, Docker)

  • Documentation and Open Science Practices

  • Case Studies and Examples of Reproducible Research


Learning Outcomes

  • Understand the importance of reproducibility in research.

  • Learn techniques to design studies that are inherently more reproducible.

  • Gain knowledge of statistical methods that enhance reproducibility.

  • Familiarise with tools and software that aid in replicable research practices.

  • Implement effective documentation and data sharing practices.

  • Analyse and learn from real-world examples of reproducible research.


Who Should Attend?

Researchers, academics, postgraduate students, and any professionals engaged in empirical research. Prior experience with basic research methodology is beneficial but not required.


Why Attend?

  • Improve the reliability and credibility of your research.

  • Contribute to the advancement of open and transparent scientific practices.

  • Enhance your research skills in line with current best practices.

  • Facilitate collaboration and sharing within the research community.

  • Stay abreast of the latest tools and techniques in reproducible research.



An interactive mix of lectures, practical exercises, group discussions, and case study analyses. The workshop will focus on applying principles of reproducibility in various research scenarios.

Contact Us

Thanks for submitting!

bottom of page