Handy and Minimalistic Common Data Model Characterization R package OdysseusCharacterizationModule version 0.0.1 Extracts covariates from Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) domains using an R-only pipeline. Supports configurable temporal windows, domain-specific covariates for drug exposure, drug era (including Anatomical Therapeutic Chemical (ATC) groupings), condition occurrence, condition era, concept sets and cohorts. Methods are based on the Observational Health Data Sciences and Informatics (OHDSI) framework described in Hripcsak et al. (2015) <doi:10.1038/sdata.2015.35> and "The Book of OHDSI" OHDSI (2019, ISBN:978-1-7923-0589-8). Software Depends: R (>= 4.1.0) Imports: checkmate, DatabaseConnector, jsonlite, SqlRender, stats Suggests: Andromeda, Eunomia, FeatureExtraction, knitr, rmarkdown, testthat (>= 3.0.0), withr Alexander Alexeyuk <alexanderAlexeyuk@gmail.com> Comprehensive R Archive Network (CRAN) Alexander Alexeyuk [aut, cre] Apache License (>= 2) 2026-04-22 application/tgz https://CRAN.R-project.org/package=OdysseusCharacterizationModule doi:10.32614/CRAN.package.OdysseusCharacterizationModule