This repository is a project blueprint for transforming Real-World Data (RWD) into Real-World Evidence (RWE) using an R-based reproducible pipeline.
- Put your raw data in
data/raw/(CSV, parquet, or your preferred format). - Edit metadata YAML files in
metadata/to declare domains, cohort and analysis rules. - Source package config and run the targets pipeline:
source("config/_packages.R")
targets::tar_make()- Render the report at
reports/rwe_report.qmdafter the pipeline completes.
config/- package loader and global optionsdata/raw/- raw RWD inputsdata/interim/- standardized SDTM-lite datasets (parquet)data/processed/- analysis-ready datasetsmetadata/- YAML specifications & mapping filesR/- R functions and pipeline componentschecks/- QC rules and testsreports/- Quarto report and figuresapp/- optional Shiny app
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