dataset: Create Data Frames for Exchange and Reuse

The 'dataset' package extends tidy data frames with machine-readable metadata, semantic definitions, and provenance information. It supports incremental semantic stabilization, interoperable dataset exchange, and FAIR-oriented publication workflows by preserving contextual metadata directly within R objects. The package facilitates the creation, exchange, reuse, and RDF serialization of datasets in line with ISO and W3C standards.

Version:	0.4.5
Depends:	R (≥ 3.5)
Imports:	assertthat, haven, ISOcodes, labelled, pillar, stats, tibble, utils, vctrs
Suggests:	dplyr, jsonld, knitr, rdflib, rmarkdown, spelling, tidyr, testthat (≥ 3.0.0)
Published:	2026-06-03
DOI:	10.32614/CRAN.package.dataset
Author:	Daniel Antal [aut, cre], Marcelo Perlin [rev], Anna Márta Mester [rev], Mauro Lepore [rev]
Maintainer:	Daniel Antal <daniel.antal at dataobservatory.eu>
BugReports:	https://github.com/ropensci/dataset/issues
License:	GPL (≥ 3)
URL:	https://docs.ropensci.org/dataset/, https://github.com/ropensci/dataset, https://dataset.dataobservatory.eu
NeedsCompilation:	no
Language:	en-GB
Citation:	dataset citation info
Materials:	README, NEWS
CRAN checks:	dataset results

Documentation:

Reference manual:

dataset.html , dataset.pdf

Vignettes:

Modernising Citation Metadata in R: Introducing 'bibrecord' (source, R code) dataset_df: Create Datasets that are Easy to Share Exchange and Extend (source, R code) defined: Semantically Enriched Vectors (source, R code) Design Principles & Future Work Semantically Enriched, Standards-Aligned Datasets in R (source, R code) Example Dataset Definitions (source) An Introduction to the dataset Package (source, R code) Handling Semantic Ambiguity with prelabelled Vectors (source, R code) From R to RDF (source, R code)

Downloads:

Package source:	dataset_0.4.5.tar.gz
Windows binaries:	r-devel: dataset_0.4.5.zip, r-release: dataset_0.4.5.zip, r-oldrel: dataset_0.4.5.zip
macOS binaries:	r-release (arm64): dataset_0.4.5.tgz, r-oldrel (arm64): dataset_0.4.5.tgz, r-release (x86_64): dataset_0.4.5.tgz, r-oldrel (x86_64): dataset_0.4.5.tgz
Old sources:	dataset archive

Reverse dependencies:

Reverse imports:

retroharmonize

Linking:

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