Manage 'CDISC' 'ADaM' Dataset Specifications in 'YAML' Format R package mighty.metadata version 0.1.0 Load, validate, and manipulate Clinical Data Interchange Standards Consortium ('CDISC') Analysis Data Model ('ADaM') dataset metadata stored as 'YAML' files. Metadata files are validated against a JSON schema. Provides functions to inspect and modify columns, parameters, and row-level operations within and across 'ADaM' domains. Designed for use with the 'mighty' framework. Software Depends: R (>= 4.1) Imports: cli, dplyr, glue, purrr, rlang, S7, S7schema (>= 0.1.1), stats, tibble, yaml, zephyr Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tidyr, withr Aksel Thomsen <oath@novonordisk.com> Comprehensive R Archive Network (CRAN) Aksel Thomsen [aut, cre], Ari Siggaard Knoph [aut], Matthew Phelps [aut], Giulia Pais [aut], Novo Nordisk A/S [cph] Apache License (>= 2) 2026-05-15 application/tgz https://CRAN.R-project.org/package=mighty.metadata doi:10.32614/CRAN.package.mighty.metadata