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DESCRIPTION

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Package: dataset
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Title: Create interoperable and well-documented data frames
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Version: 0.1.0
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Version: 0.1.0.001
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Authors@R:
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person("Daniel", "Antal", , "[email protected]", role = c("aut", "cre"),
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comment = c(ORCID = "0000-0001-7513-6760"))
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Description: Create well-documented, well-described, interoperable datasets in R for
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publication and use on the (semantic) web.
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License: GPL (>= 3)
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URL: https://github.com/dataobservatory-eu/dataset
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BugReports: https://github.com/dataobservatory-eu/dataset/issues
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Encoding: UTF-8
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Roxygen: list(markdown = TRUE)
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RoxygenNote: 7.2.0

README.Rmd

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## faIR: Interoperable & Reusable Datasets
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The interoperability and reusability of datasets is greatly enhanced if they follow a standardized and practical format. Our datasets follow the tidy data principles^[Wickham, H.(2014). Tidy Data. Journal of Statistical Software, 59(10), 1–23. <https://doi.org/10.18637/jss.v059.i10>] and are interoperable with the W3C [DF Data Cube Vocabulary]^[RDF Data Cube Vocabulary, W3C Recommendation 16 January 2014 <https://www.w3.org/TR/vocab-data-cube/#metadata>] (semantic web) and SDMX (statistical) dataset definitions.
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The interoperability and reusability of datasets is greatly enhanced if they follow a standardized and practical format. Our datasets follow the tidy data principles^[Wickham, H.(2014). Tidy Data. Journal of Statistical Software, 59(10), 1–23. <https://doi.org/10.18637/jss.v059.i10>] and are interoperable with the W3C ^[DF Data Cube Vocabulary]^[RDF Data Cube Vocabulary, W3C Recommendation 16 January 2014 <https://www.w3.org/TR/vocab-data-cube/#metadata>] (semantic web) and SDMX (statistical) dataset definitions.
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Both W3C and SDMX uses are more complex object, the Datacube in its description. The dataset is a redused datacube. To adhere to tidy data principles and easy use in reproducible resaerch workflows, we further reduced our subjective definition of the dataset.
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README.md

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## Installation
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You can install the development version of dataset like so:
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You can install the development version of dataset from Github:
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``` r
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devtools::install_package(dataobservatory-eu/dataset)
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The interoperability and reusability of datasets is greatly enhanced if
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they follow a standardized and practical format. Our datasets follow the
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tidy data principles[^1] and are interoperable with the W3C \[DF Data
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Cube Vocabulary\][^2] (semantic web) and SDMX (statistical) dataset
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definitions.
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tidy data principles[^1] and are interoperable with the W3C <sup>\[DF
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Data Cube Vocabulary\]</sup>\[RDF Data Cube Vocabulary, W3C
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Recommendation 16 January 2014
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<https://www.w3.org/TR/vocab-data-cube/#metadata>\] (semantic web) and
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SDMX (statistical) dataset definitions.
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Both W3C and SDMX uses are more complex object, the Datacube in its
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description. The dataset is a redused datacube. To adhere to tidy data
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#> [145] 145 146 147 148 149 150
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#>
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#> $Modified
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#> [1] "2022-06-23 17:40:26 CEST"
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#> [1] "2022-06-23 17:54:32 CEST"
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#>
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#> $dataset_id
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#> [1] "iris_dataset"
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can be referenced as `dataset_id#obs_id` will be used to create unique
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resource identifiers (URIs). For the first five observations of the
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`iris` dataset:
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iris_dataset#1,iris_dataset#2,iris_dataset#3,iris_dataset#4,iris_dataset#5
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iris_dataset#1’,‘iris_dataset#2’,‘iris_dataset#3’,‘iris_dataset#4’,’iris_dataset#5
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## Code of Conduct
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[^1]: Wickham, H.(2014). Tidy Data. Journal of Statistical Software,
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59(10), 1–23. <https://doi.org/10.18637/jss.v059.i10>
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[^2]: RDF Data Cube Vocabulary, W3C Recommendation 16 January 2014
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<https://www.w3.org/TR/vocab-data-cube/#metadata>

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