_pkgdown.yml

url: https://dataset.dataobservatory.eu
template:
  bootstrap: 5
  bslib:
    base_font: {google: "Roboto"}
    heading_font: {google: "Roboto Slab"}
    code_font: {google: "JetBrains Mono"}

home:
  links:
  - text: http://dataset.dataobservatory.eu
    href: http://dataset.dataobservatory.eu


authors:
  Daniel Antal:
    href: https://reprex.nl/authors/daniel_antal/
  Reprex:
    href: https://reprex.nl/
    html: <img src="https://reprex.nl/authors/admin/avatar_hud66277e7f64fbf44513e7a4881e2a94f_35557_270x270_fill_lanczos_center_2.png"
      height="24" />


articles:
  - title: "Datasets"
    desc: >
     Our `dataset` R package aims to help the Findability, Accessibility, Interoperability,
         and Reuse of digital assets, particularly datacubes and datasets used in statistics and data
         analysis.
    contents:
      - dataset
      - motivation
  - title: More Valuable Datasets
    desc: >
     Increase the (re-)use value of a dataset by increasing semantic information
     about the variables (columns), observations (rows), and the structure of the
     dataset.
    contents:
    - columns
    - rows
    - DSD
  - title: "Metadata"
    desc: >
     Our `dataset` R package creates new classes and an interface to easily add,
     retrieve or modify descriptive, provenance or structural metadata to a
     dataset.
    contents:
      - metadata
      - datacite
      - dublincore
      - provenance
  - title: "Data Linking"
    desc: >
       Linking datasets.
    contents:
       - data-linking
       - RDF
  - title: "Planned functionality"
    desc: >
     This package is in an early development phase. The current dataset S3 class is inherited
         from the base R data.frame. Later versions may change to the modern
         [tibble](https://tibble.tidyverse.org/), which carries a larger dependency footprint
         but easier to work with. Easy interoperability with the
         [data.table](https://cran.r-project.org/web/packages/data.table/index.html) package remains a top development priority.
    contents:
      - new-requirements
      - survey
reference:
  - title: "Dataset"
    desc: >
      Work with DataSet objects that resemble the [W3C](https://www.w3.org/TR/vocab-data-cube/) and SDMX datacube model.
    contents:
      - dataset
      - subsetting
      - id_to_column
      - head.dataset
      - dataset_bibentry
      - describe
      - provenance
      - DataStructure
  - title: "Replication Dataset"
    desc: >
      Edgar Anderson's Iris Dataset with dataset metadata recorded as attributes.
    contents:
       - iris_dataset
       - statwales
  - title: "Default namespace"
    desc: >
      Some popular namespace prefix abbreviations for the linking of datasets.
    contents:
       - dataset_namespace
  - title: "FAIR metadata"
    desc: >
      Add and read [FAIR metadata](https://www.go-fair.org/fair-principles/)
      to improve the Findability, Accessibility, Interoperability, and Reuse of digital datasets.
    contents:
      - dublincore
      - datacite
      - dataset_title
      - identifier
      - creator
      - publisher
      - geolocation
      - datasource_get
      - datasource_set
      - publication_year
      - subject
      - size
      - language
      - description
      - rights
      - version
      - related_item
      - var_labels
  - title: "Data Linking"
    desc: >
       Linking
    contents:
      - xsd_convert
      - get_prefix
      - dataset_to_triples
      - dataset_ttl_write
  - title: "Reproducible research workflows"
    desc: >
      Improve reproducability with recording data lifecycle, processing history as
      standardized metadata.
    contents:
      - dataset_download