Research Transparency and Reproducibility Training
The BITSS Research Transparency and Reproducibility Trainings (RT2) are our flagship training events, which provide participants with an overview of tools and practices for transparent and reproducible social science research. We have hosted ten events as of 2022, reaching over 400 social science researchers from around the world.
The RT2 curriculum typically covers the following topics:
- 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);
- Improved research design specification (pre-registration and pre-analysis plans, power analysis, and pre-analysis plans for experimental or observational research);
- Ethical and open research (ethical research for open science, data management, and data de-Identification);
- 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);
- Evidence synthesis, reproducibility, and interpretation (methods for meta-analyses and systematic reviews, transparency and reproducibility with administrative data, and replicability and reproducibility); and
- Open science software and method innovations.