Welcome to the companion repository for the R Medicine 2026 session on reproducible bulk data import. This repository contains the code, slides, and supplementary resources presented by Ezekiel Ogundepo.
Data scientists, analytical chemists, and medical researchers often deal with large volumes of data spread across multiple files. This session demonstrates how to streamline the data ingestion process using bulkreadr, reducing boilerplate code and minimizing errors in R-based research workflows.
bulkreadr is an R package designed to make reading multiple data files (such as CSV, Excel, and RDS) into a single data frame fast, easy, and reproducible. It is built to integrate seamlessly with the tidyverse ecosystem, allowing you to efficiently label, combine, and summarise your data.
You can install the released version of bulkreadr from CRAN with:
install.packages("bulkreadr")
Alternatively, you can install the development version from GitHub:
# install.packages("devtools")
devtools::install_github("gbganalyst/bulkreadr")
This repository includes: