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 <https://www.w3.org/TR/vocab-data-cube/>, which is also used in the global Statistical Data and Metadata eXchange standards, the application of the connected Dublin Core <https://www.dublincore.org/specifications/dublin-core/dcmi-terms/> and DataCite <https://support.datacite.org/docs/datacite-metadata-schema-44/> standards preferred by European open science repositories to improve the findability, accessibility, interoperability and reusability of the datasets.
Version: | 0.2.0 |
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: | 2022-12-14 |
Author: | Daniel Antal |
Maintainer: | Daniel Antal <daniel.antal at dataobservatory.eu> |
BugReports: | https://github.com/dataobservatory-eu/dataset/issues |
License: | GPL (≥ 3) |
URL: | https://github.com/dataobservatory-eu/dataset |
NeedsCompilation: | no |
Language: | en-US |
Citation: | dataset citation info |
Materials: | README NEWS |
CRAN checks: | dataset results |
Package source: | dataset_0.2.0.tar.gz |
Windows binaries: | r-devel: dataset_0.2.0.zip, r-release: dataset_0.2.0.zip, r-oldrel: dataset_0.2.0.zip |
macOS binaries: | r-release (arm64): dataset_0.2.0.tgz, r-oldrel (arm64): dataset_0.2.0.tgz, r-release (x86_64): dataset_0.2.0.tgz, r-oldrel (x86_64): dataset_0.2.0.tgz |
Old sources: | dataset archive |
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