Daniel Antal
2022-08-01
<p>See the package documentation website on <a href="https://dataset.dataobservatory.eu/">dataset.dataobservatory.eu</a>.<br>
Report bugs and suggestions on Github: <a href="https://github.com/dataobservatory-eu/dataset/issues">https://github.com/dataobservatory-eu/dataset/issues</a></p>
<p>The primary aim of dataset is create well-referenced, well-described, interoperable datasets from data.frames, tibbles or data.tables that translate well into the W3C <a href="https://www.w3.org/TR/vocab-data-cube/">Data Cube Vocabulary</a> based on the statistical SDMX data cube model. Such standard R objects (data.fame, data.table, tibble, or well-structured lists like json) become highly interoperable and can be placed into relational databases, semantic web applications, archives, repositories. They follow the <a href="https://www.go-fair.org/fair-principles/">FAIR</a> principles: they are findable, accessible, interoperable and reusable.</p>
<p>Our <a href="https://dataset.dataobservatory.eu/reference/dataset.html">datasets</a>:</p>
<ul>
<li>
<p>Contain Dublin Core or DataCite (or both) metadata that makes the findable and easier accessible via online libraries. See vignette article <a href="https://dataset.dataobservatory.eu/articles/metadata.html">Datasets With FAIR Metadata</a>.</p>
</li>
<li>
<p>Their dimensions can be easily and unambigously reduced to triples for RDF applications; they can be easily serialized to, or synchronized with semantic web applications. See vignette article <a href="https://dataset.dataobservatory.eu/articles/RDF.html">From dataset To RDF</a>.</p>
</li>
<li>
<p>Contain processing metadata that greatly enhance the reproducibility of the results, and the reviewability of the contents of the dataset, including metadata defined by the <a href="https://ddialliance.org/">DDI Alliance</a>, which is particularly helpful for not yet processed data;</p>
</li>
<li>
<p>Follow the datacube model of the <a href="https://sdmx.org/">Statistical Data and Metadata eXchange</a>, therefore allowing easy refreshing with new data from the source of the analytical work, and particularly useful for datasets containing results of statistical operations in R;</p>
</li>
<li>
<p>Correct exporting with FAIR metadata to the most used file formats and straighforward publication to open science repositories with correct bibliographical and use metadata. See <a href="https://dataset.dataobservatory.eu/articles/publish.html">Export And Publish a dataset</a>.</p>
</li>
<li>
<p>Relatively lightweight in dependencies and easily works with data.frame, <a href="https://tibble.tidyverse.org/">tibble</a> or <a href="https://rstudio.github.io/DT/">data.table</a> R objects.</p>
</li>
</ul>
https://doi.org/10.5281/zenodo.6950435
oai:zenodo.org:6950435
eng
Zenodo
https://dataset.dataobservatory.eu/
https://zenodo.org/communities/competition_data_observatory
https://zenodo.org/communities/music_observatory
https://zenodo.org/communities/greendeal_observatory
https://zenodo.org/communities/eu
https://zenodo.org/communities/social_sustainability_observatory
https://doi.org/10.5281/zenodo.6703764
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
R (Computer program language)
DataCite
DataCube
data.frame
data.table
tibble
metadata
dataset: Create interoperable and well-documented data frames
info:eu-repo/semantics/other