Reproducibility is often called the “hallmark” or “bedrock” of science. After all, what good are scientific findings if they are only valid for the time and place they were originally created? This course will convey a general understanding of what reproducibility means before focusing on three key aspects of it:
1. How reproducible research is dependent on data generation, analysis and reporting;
2. How daily research habits are influencing reproducibility;
3. How reproducibility of research also depends on the correct interpretation of research findings.
The course programme is structured in three distinct parts:
Introduction: It starts with a general introduction into the topic of reproducibility, lays out its different meanings and interpretations and tries to set the stage for the latter parts.
Concrete advice: The middle parts gives the researches concrete advice on how to spot faulty research as well as on how to design, conduct and report their research in the most reproducible way possible.
Conclusion: The LTK ends with a focus on how to interpret and analyse experimental data in a reliable way without falling prey to dichotomous thinking and/or biased reporting.
The programme is structured so that it should give participants useful advice to improve the reproducibility of their research, even if they cannot or do not want to use any specific tools. Also, the advice does not demand a fundamental change of how to conduct research, but rather tries to achieve as much leverage as possible with as few and easy changes in research habits as possible.
Note: For this course, 2 continuous training days are submitted for authority accreditation. Prerequisite for this is that the participants do preparatory tasks and additionally do a homework after the course, which will be checked by the organizers.