Reproducible Research and Data Analysis

Replication is fundamental in science, but only a small number of scientific studies can be replicated → the replication crisis many attempted replications of well-known scientific studies have failed (in many different areas) rates of paper retractions from top journals and conferences are increasing.

Replication with new independent data is expensive or methodologically impossible → we need reproducible research to assess the validity of scientific results.

Research is reproducible when we can reproduce the results of a scientific study with the original data, code, and documentation.

This course aims to teach the following topics:

• Strategies for organizing research data such as versioning,  file naming conventions and data file formatting and transformations
• Why documenting data and data citation are important.
• Issues involved in storing, securing, and backing up research data