Data Science

Reproducible Research

Reproducible Research

We develop methods with which researchers can repeat an experiment or study. Repeatability and reproducibility are main principles of the scientific methods and makes research more acceptable and useable among scientific community. Our reproducible research methods specifically aim at following three objectives;

  • Ensure validity of data analysis in the research
  • Establish trustworthiness
  • Provide opportunity to new investigators to reuse the methods and data

Our methods can bring more transparency to your scientific work. Availability of (reproducible) research method and data to new investigators also a source of more credibility and better transfer of knowledge.


  • R Programming
  • Literal Programming
  • R Markdown
  • Knitr