dataset: Create Data Frames that are Easier to Exchange and Reuse

The aim of the 'dataset' package is to make tidy datasets easier to release, exchange and reuse. It organizes and formats data frame 'R' objects into well-referenced, well-described, interoperable datasets into release and reuse ready form. A subjective interpretation of the W3C DataSet recommendation and the datacube model <>, which is also used in the global Statistical Data and Metadata eXchange standards, the application of the connected Dublin Core <> and DataCite <> standards preferred by European open science repositories to improve the findability, accessibility, interoperability and reusability of the datasets.

Version: 0.2.7
Depends: R (≥ 2.10)
Imports: assertthat, ISOcodes, stats, utils
Suggests: dataspice, covr, declared, dplyr, eurostat, here, kableExtra, knitr, rdflib, readxl, rmarkdown, spelling, statcodelists, testthat (≥ 3.0.0), tidyr
Published: 2023-12-08
Author: Daniel Antal ORCID iD [aut, cre], Marcelo Perlin ORCID iD [rev]
Maintainer: Daniel Antal <daniel.antal at>
License: GPL (≥ 3)
NeedsCompilation: no
Language: en-US
Citation: dataset citation info
Materials: README NEWS
CRAN checks: dataset results


Reference manual: dataset.pdf
Vignettes: From dataset To RDF
Working with DataCite Metadata
The dataset S3 Class
Working with Dublin Core Metadata
Motivation: Make Tidy Datasets Easier to Release Exchange and Reuse
The survey Class


Package source: dataset_0.2.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): dataset_0.2.7.tgz, r-oldrel (arm64): dataset_0.2.7.tgz, r-release (x86_64): dataset_0.2.7.tgz, r-oldrel (x86_64): dataset_0.2.1.tgz
Old sources: dataset archive


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