The BITSS Research Transparency and Reproducibility Training (RT2) is our flagship training, which provides participants with an overview of tools and practices for transparent and reproducible social science research. We have hosted nine events in this format so far, reaching over 200 researchers across the social sciences.

The RT2 curriculum typically covers the following topics:

  1. Threats to research credibility and reproducibility and their relation to the scientific ethos (Mertonian Norms, scientific misconduct and researcher degrees of freedom, and transparency in the research cycle);
  2. Improved research design specification (pre-registration and pre-analysis plans, power analysis, and pre-analysis plans for experimental or observational research);
  3. Ethical and open research (ethical research for open science, data management, and data de-Identification);
  4. Tools and methods for research reproducibility and collaboration (hands-on sessions on version control with GitHub and the GitHub App or GitKraken, and hands-on sessions on Dynamic Documents for R or Stata users);
  5. Evidence synthesis, reproducibility, and interpretation (methods for meta-analyses and systematic reviews, transparency and reproducibility with administrative data, and replicability and reproducibility); and
  6. Open science software and method innovations.

Learn more and find materials from past RT2 events here.