Check Clinical Trial Data Against 'CDISC' Open Rules R package coreval version 0.3.0 Finds conformance problems in clinical trial data without leaving R, using the openly published 'CDISC' Open Rules ('CORE'). Check a single dataset while you are still writing the code that builds it, or a whole study folder once it exists, and get the findings back as a tidy data frame pointing at the exact row and variable. Reads transport ('XPT'), 'SAS', comma-separated and 'Dataset-JSON' files, plus 'Define-XML' when present, and 'USDM' study-design documents. Covers rules for the 'SDTM', 'SEND', 'TIG' and 'USDM' standards. The rules are bundled inside the package, so nothing is downloaded and your data never leaves your machine: no internet, no API key, no account. When a rule cannot be checked - because it needs a dataset you did not supply, for instance - it is reported as skipped with the reason, never counted as a pass. Meant as a quick first pass before a qualified validation system, never as a replacement for one. An independent project: not affiliated with or endorsed by 'CDISC', and not a 'CORE'-certified conformance engine. Software Depends: R (>= 4.1) Imports: data.table, haven Suggests: jsonlite, knitr, QuickJSR, rmarkdown, testthat (>= 3.0.0), writexl, xml2 Hrach Gevorgyan <hrach.gevorgyan@yandex.com> Comprehensive R Archive Network (CRAN) Hrach Gevorgyan [aut, cre, cph] MIT + file LICENSE (https://CRAN.R-project.org/package=coreval/LICENSE) 2026-09-15 application/tgz https://CRAN.R-project.org/package=coreval doi:10.32614/CRAN.package.coreval en-US