dataset - New release on rOpenSci and CRAN

A new CRAN release with much improved unit testing and documentation to meet the rOpenSci standards and better methods for the main s3 classes of the package.

• Rewritten vignettes.
• Improved print, summary methods for dataset_df and defined.
• Better handling of multible contributors in bibrecord.
• A new dataset_to_triples and xsd_convert for better serialisation.
• A better handling of empty nodes in RDF.
• Many bug fixes in the way semantic information is translated to RDF.
• var_labels() now similar to labelled::var_lables() behavior, generally havenlabelleddefined as an s3 class works better in the tidyverse.
• New bibliographic helper functions for dataset_format() and contributor().
• Countless small bug fixes to convert to various metadata schemas edge cases, like missing contributors, formatted subjects, etc.
• Better handling of structured metadata with subject()

What's Changed

• docs: http -> https in pkgdown config by @maelle in https://github.com/dataobservatory-eu/dataset/pull/19
• docs: tiny fixes in the README by @maelle in https://github.com/dataobservatory-eu/dataset/pull/18
• small corrections by @mesteranna in https://github.com/dataobservatory-eu/dataset/pull/34
• In roxygen2 docs use markdown syntax by @maurolepore in https://github.com/dataobservatory-eu/dataset/pull/38
• Article-groups now appear under a navbar menu by @maurolepore in https://github.com/dataobservatory-eu/dataset/pull/40
• Update pkgcheck CI workflow by @maurolepore in https://github.com/dataobservatory-eu/dataset/pull/41

New Contributors

• @maelle made their first contribution in https://github.com/dataobservatory-eu/dataset/pull/19
• @mesteranna made their first contribution in https://github.com/dataobservatory-eu/dataset/pull/34
• @maurolepore made their first contribution in https://github.com/dataobservatory-eu/dataset/pull/38

Full Changelog: https://github.com/dataobservatory-eu/dataset/compare/0.3.3008...0.4.0

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Published by antaldaniel 10 months ago

dataset - Pre-release for rOpenSci and CRAN

This is a thorough overwrite with a more focused functionality.

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Published by antaldaniel over 1 year ago

dataset - dataset 0.3.0: New CRAN release with RDF functionality

The dataset package extends the concept of tidy data and adds further, standardized semantic information to the user’s dataset to increase the (re-)use value of the data object.

• [x] More descriptive information about the dataset as a creation, its authors, contributors, reuse rights and other metadata to make it easier to find and use.
• [x] More standardized and linked metadata, such as standard variable definitions and code lists, enable the data owner to gather far more information from third parties or for third parties to understand and use the data correctly.
• [x] More information about the data provenance makes the quality assessment easier and reduces the need for time-consuming and unnecessary re-processing steps.
• [x] More structural information about the data makes it more accessible to reuse and join with new information, making it less error-prone for logical errors.

Check out the new vignette article From dataset To RDF.

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Published by antaldaniel over 2 years ago

dataset - Adding semantic information to variables, observations and the structure

New vignettes on - [x] Richer Semantics for the Dataset's Variables - [x] Richer Semantics for the Dataset's Observations - [x] Richer Description of the Datasets's Structure for Meaningful Reuse Opportunities

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Published by antaldaniel over 2 years ago

dataset - CRAN release: new s3 classes and improved interoperability

After reviewing various user experiences and expectations, this is a seriously re-written, yet still rather experimental, release with no new long-format (vignette) documentation. For consulting development plans, please refer to Making Datasets Truly Interoperable.

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Published by antaldaniel over 2 years ago

dataset - 0.2.1 Documentation improvements

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Published by antaldaniel over 3 years ago

dataset - Improved methods for the dataset s3 class

• New methods for the dataset() s3 class: print.dataset(), summary.dataset(), subset.dataset, [.dataset.
• New vignette on how to use the dataspice package programmatically for publishing dataset documentation.

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Published by antaldaniel over 3 years ago

dataset - 0.1.9 First CRAN release

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Published by antaldaniel over 3 years ago

dataset - 0.1.7. rOpenSci submission version

• rOpenSci submission

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Published by antaldaniel almost 4 years ago

dataset - dataset: Create interoperable and well-documented data frames

The goal of dataset is to create datasets from standared R objects (data.fame, data.table, tibble, or well-structured lists like json) that are highly interoperable and can be placed into relational databases, semantic web applications, archives, repositories.

• Added the Motivation of the dataset package vignette article.
• 

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Published by antaldaniel almost 4 years ago