Understanding Open and Reproducible Science: Glossary

Scientific integrity, Open Science and reproducibility are connected.

All three themes are important for the trustworthiness of research results

The tools that will be taught in this course help to increase trustworthiness

Well organized projects are easier to reproduce

Consistency is the most important principle for coding analyses and for preparing data

Transparency increases reliability and trust and also helps my future self

The structure of an article represents the steps of the scientific method

The structure of an article helps in finding information and to get started with reproduction/replication

There are some simple questions that can be asked when judging the quality of an article

Collaboration is fundamental for science, especially Open Science

Learning to use tools for collaboration is effective and helps to avoid problems

Code-based analysis is better for reproducibility.

Combining narrative and code-based results is even more profitable.

Code chunks in R Markdown provide an easy solution

Be simple, clear and to the point

Show the data

Be honest about the axes

Use colors sensibly