I am thrilled to share that our paper, Electronic Common Technical Document Submission with Analysis Using R, is published online today in Clinical Trials. We have selected the open access (OA) option to ensure that everyone in the community can check out the full text freely.
A simple solution to a complex problem
Our article presented a viable path to prepare proprietary R assets for submission, following the electronic common technical document (eCTD) specification. The goal is to make the submission document self-contained, easy to create, transfer, restore, review, and submit, with confidence in transparency and reproducibility for both submitters and reviewers.
The workflow is built upon the idea of organizing the submission assets as R packages. Our tool, pkglite, can convert the proprietary source R packages with the analysis code into a compact text format and restore/install later. We provided real-world examples and templates, so you can try them out today. We also highlighted the successful pilot 1 open source submission from the R Consortium R submission working group, leveraging the solution and workflow. More details of the workflow have been documented in our bookdown project R for Clinical Study Reports and Submission.
A few more words on pkglite
The pkglite package has accumulated 15k total downloads from the RStudio CRAN mirror. As a simple, generic text file-based dependency distribution solution for R, we have observed many other creative use cases for pkglite since it was first published on CRAN in March 2021.
dlstats::cran_stats("pkglite") |> ggplot2::ggplot(ggplot2::aes(x = end, y = downloads, color = package)) + ggplot2::geom_point() + ggplot2::geom_line() + cowplot::theme_cowplot() + ggsci::scale_color_d3() + ggplot2::theme(axis.title.x = ggplot2::element_blank())
We hope pkglite can continue to deliver value to people who need a lightweight R package exchange and distribution solution. We have some good ideas to further develop the toolchain. You can see them from my R/Pharma conference talk last year on reimagining the R package distribution system for reproducible research and submissions.
I would like to thank the editors and the anonymous reviewers for offering constructive feedback that improved the quality of our manuscript. I also appreciate the outstanding contributions made by my collaborators Yujie Zhao, Keaven Anderson, Yilong Zhang, and many excellent colleagues for making this happen as a team. 🤗