Clinical research is one of the fastest growing fields in the world, and R is becoming increasingly important as a way to handle data, especially as more and more studies are conducted with small numbers of patients, or in collaboration with multiple institutions to collect data and conduct research.

Rather than using R to analyze data, clinical researchers have typically focused on study design, data collection, and validation, while coding has been done by professional developers, but now more and more clinical researchers are trying to use R themselves, including data management.

To this end, we have been providing R training for clinical researchers, but there is a lot of room for improvement compared to professional training services, such as reflecting the latest R-related technology trends and making the training experience better.

In this session, I will share how we decided to use Quarto, what we considered in order to provide R training for clinical researchers, how we actually used Quarto, the advantages and disadvantages of using Quarto, our achievements, and our future plans.