{
  "_id": "6a44d5616ff6f2357551c317",
  "Package": "dataset",
  "Title": "Create Data Frames for Exchange and Reuse",
  "Version": "0.4.5",
  "Date": "2026-06-03",
  "Language": "en-GB",
  "Authors@R": "c(person(given = \"Daniel\", family = \"Antal\",\nemail = \"daniel.antal@dataobservatory.eu\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0001-7513-6760\")\n),\nperson(given = \"Marcelo\", family =  \"Perlin\",\nrole = c(\"rev\"),\ncomment = c(ORCID = \"0000-0002-9839-4268\")\n),\nperson(given = \"Anna Márta\", family =  \"Mester\",\nrole = c(\"rev\"),\ncomment = c(ORCID = \"0009-0008-2274-8163\")\n),\nperson(given = \"Mauro\", family =  \"Lepore\",\nrole = c(\"rev\"),\ncomment = c(ORCID = \"0000-0002-1986-7988\")\n)\n)",
  "Maintainer": "Daniel Antal <daniel.antal@dataobservatory.eu>",
  "Description": "The 'dataset' package extends tidy data frames with\nmachine-readable metadata, semantic definitions, and provenance\ninformation. It supports incremental semantic stabilization,\ninteroperable dataset exchange, and FAIR-oriented publication\nworkflows by preserving contextual metadata directly within R\nobjects. The package facilitates the creation, exchange, reuse,\nand RDF serialization of datasets in line with ISO and W3C\nstandards.",
  "License": "GPL (>= 3)",
  "Encoding": "UTF-8",
  "URL": "https://docs.ropensci.org/dataset/,\nhttps://github.com/ropensci/dataset,\nhttps://dataset.dataobservatory.eu",
  "BugReports": "https://github.com/ropensci/dataset/issues",
  "Roxygen": "list(markdown = TRUE)",
  "LazyData": "true",
  "Config/testthat/edition": "3",
  "VignetteBuilder": "knitr",
  "Config/roxygen2/version": "8.0.0",
  "Config/pak/sysreqs": "make libicu-dev libx11-dev zlib1g-dev",
  "Repository": "https://ropensci.r-universe.dev",
  "Date/Publication": "2026-06-03 06:49:34 UTC",
  "RemoteUrl": "https://github.com/ropensci/dataset",
  "RemoteRef": "main",
  "RemoteSha": "1dabc465edabb0cf3e8bcd2887730439be31e040",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-07-01 08:27:35 UTC",
    "User": "root"
  },
  "Author": "Daniel Antal [aut, cre] (ORCID:\n<https://orcid.org/0000-0001-7513-6760>),\nMarcelo Perlin [rev] (ORCID: <https://orcid.org/0000-0002-9839-4268>),\nAnna Márta Mester [rev] (ORCID:\n<https://orcid.org/0009-0008-2274-8163>),\nMauro Lepore [rev] (ORCID: <https://orcid.org/0000-0002-1986-7988>)",
  "_user": "ropensci",
  "_type": "src",
  "_file": "dataset_0.4.5.tar.gz",
  "_fileid": "https://r2.ropensci.org/63f292319f0a1e5abbf4003281e8d872121dbbfcda37c2b62bc6736e2e94b67d",
  "_filesize": 1072823,
  "_sha256": "63f292319f0a1e5abbf4003281e8d872121dbbfcda37c2b62bc6736e2e94b67d",
  "_expires": "2026-10-09T08:52:49.000Z",
  "_created": "2026-07-01T08:27:35.000Z",
  "_published": "2026-07-01T08:52:49.460Z",
  "_jobs": [
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  "_host": "GitHub-Actions",
  "_buildurl": "https://github.com/r-universe/ropensci/actions/runs/28503784852",
  "_status": "success",
  "_upstream": "https://github.com/ropensci/dataset",
  "_commit": {
    "id": "1dabc465edabb0cf3e8bcd2887730439be31e040",
    "author": "Daniel Antal <antaldaniel@gmail.com>",
    "committer": "Daniel Antal <antaldaniel@gmail.com>",
    "message": "No separate documentation entry for is.prelabelled()\n",
    "time": 1780469374
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    "name": "Daniel Antal",
    "email": "daniel.antal@dataobservatory.eu",
    "orcid": "0000-0001-7513-6760"
  },
  "_distro": "resolute",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.5",
      "role": "Depends"
    },
    {
      "package": "assertthat",
      "role": "Imports"
    },
    {
      "package": "haven",
      "role": "Imports"
    },
    {
      "package": "ISOcodes",
      "role": "Imports"
    },
    {
      "package": "labelled",
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    },
    {
      "package": "pillar",
      "role": "Imports"
    },
    {
      "package": "stats",
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    },
    {
      "package": "tibble",
      "role": "Imports"
    },
    {
      "package": "utils",
      "role": "Imports"
    },
    {
      "package": "vctrs",
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    },
    {
      "package": "dplyr",
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    },
    {
      "package": "jsonld",
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    },
    {
      "package": "knitr",
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    },
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  "_owner": "ropensci",
  "_selfowned": true,
  "_usedby": 1,
  "_updates": [
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  "_tags": [
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      "name": "0.4.0",
      "date": "2025-08-25"
    },
    {
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      "date": "2025-11-16"
    },
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      "date": "2026-01-13"
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  ],
  "_topics": [
    "dataset",
    "metadata-management"
  ],
  "_stars": 23,
  "_contributors": [
    {
      "user": "antaldaniel",
      "count": 345,
      "uuid": 11824944
    },
    {
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  ],
  "_userbio": {
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    "type": "organization",
    "name": "rOpenSci",
    "followers": 1106,
    "description": "Tools and R Packages for Open Science"
  },
  "_downloads": {
    "count": 1120,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/dataset"
  },
  "_devurl": "https://github.com/ropensci/dataset",
  "_pkgdown": "https://docs.ropensci.org/dataset/",
  "_searchresults": 127,
  "_metadata": {
    "review": {
      "id": 681,
      "status": "reviewed",
      "version": "0.3.4002",
      "organization": "rOpenSci Software Review",
      "url": "https://github.com/ropensci/software-review/issues/681"
    },
    "ropensci_category": "data-publication"
  },
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/dataset.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/ropensci/dataset",
  "_realowner": "ropensci",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.1.9",
      "date": "2022-12-02"
    },
    {
      "version": "0.2.0",
      "date": "2022-12-15"
    },
    {
      "version": "0.2.1",
      "date": "2023-03-18"
    },
    {
      "version": "0.2.7",
      "date": "2023-12-08"
    },
    {
      "version": "0.3.0",
      "date": "2024-01-09"
    },
    {
      "version": "0.3.1",
      "date": "2024-01-27"
    },
    {
      "version": "0.3.4",
      "date": "2024-12-23"
    },
    {
      "version": "0.3.9",
      "date": "2025-05-27"
    },
    {
      "version": "0.4.0",
      "date": "2025-08-26"
    },
    {
      "version": "0.4.1",
      "date": "2025-11-16"
    },
    {
      "version": "0.4.4",
      "date": "2026-05-18"
    },
    {
      "version": "0.4.5",
      "date": "2026-06-03"
    }
  ],
  "_exports": [
    "as_character",
    "as_datacite",
    "as_dataset_df",
    "as_dublincore",
    "as_factor",
    "as_logical",
    "as_numeric",
    "as_tibble",
    "as_value_key",
    "as.tibble.dataset_df",
    "bibrecord",
    "bind_defined_rows",
    "contributor",
    "contributor<-",
    "creator",
    "creator<-",
    "datacite",
    "dataset_df",
    "dataset_format",
    "dataset_format<-",
    "dataset_title",
    "dataset_title<-",
    "dataset_to_triples",
    "defined",
    "describe",
    "description",
    "description<-",
    "dublincore",
    "geolocation",
    "geolocation<-",
    "get_bibentry",
    "get_namespace_attribute",
    "get_unit_attribute",
    "get_variable_concepts",
    "get_variable_namespaces",
    "get_variable_units",
    "id_to_column",
    "identifier",
    "identifier<-",
    "invert_value_key",
    "is_dataset_df",
    "is.dataset_df",
    "is.defined",
    "is.dublincore",
    "is.prelabelled",
    "is.related",
    "label_attribute",
    "language",
    "language<-",
    "n_triple",
    "n_triples",
    "namespace_attribute",
    "namespace_attribute<-",
    "prelabel",
    "provenance",
    "provenance<-",
    "publication_year",
    "publication_year<-",
    "publisher",
    "publisher<-",
    "related_create",
    "related_item",
    "related_item<-",
    "relation",
    "relation<-",
    "rights",
    "rights<-",
    "set_bibentry<-",
    "set_namespace_attribute",
    "set_unit_attribute",
    "strip_defined",
    "subject",
    "subject_create",
    "subject<-",
    "unit_attribute",
    "unit_attribute<-",
    "var_concept",
    "var_concept<-",
    "var_label",
    "var_label<-",
    "var_labels",
    "var_labels<-",
    "var_namespace",
    "var_namespace<-",
    "var_unit",
    "var_unit<-",
    "xsd_convert"
  ],
  "_datasets": [
    {
      "name": "gdp",
      "title": "A Small GDP Dataset",
      "object": "gdp",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "geo",
        "year",
        "gdp",
        "unit",
        "freq"
      ],
      "rows": 10,
      "table": true,
      "tojson": true
    },
    {
      "name": "orange_df",
      "title": "Growth of Orange Trees",
      "object": "orange_df",
      "class": [
        "dataset_df",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "rowid",
        "tree",
        "age",
        "circumference"
      ],
      "rows": 35,
      "table": true,
      "tojson": false
    }
  ],
  "_help": [
    {
      "page": "as_character",
      "title": "Coerce a defined vector to character",
      "topics": [
        "as.character.haven_labelled_defined",
        "as_character",
        "as_character.haven_labelled_defined"
      ]
    },
    {
      "page": "as_character.prelabelled",
      "title": "Coerce prelabelled vectors to semantic character workspace",
      "topics": [
        "as_character.prelabelled"
      ]
    },
    {
      "page": "datacite",
      "title": "Create a Bibentry Object with DataCite Metadata Fields",
      "concept": [
        "bibrecord functions"
      ],
      "topics": [
        "as_datacite",
        "datacite",
        "is.datacite",
        "is.datacite.datacite",
        "print.datacite"
      ]
    },
    {
      "page": "dublincore",
      "title": "Add or Retrieve Dublin Core Metadata",
      "concept": [
        "bibrecord functions"
      ],
      "topics": [
        "as_dublincore",
        "dublincore",
        "is.dublincore",
        "print.dublincore"
      ]
    },
    {
      "page": "as_factor",
      "title": "Coerce a defined vector to a factor",
      "topics": [
        "as_factor",
        "as_factor.haven_labelled_defined"
      ]
    },
    {
      "page": "as_logical",
      "title": "Coerce a defined vector to logical",
      "topics": [
        "as_logical",
        "as_logical.haven_labelled_defined"
      ]
    },
    {
      "page": "as_numeric",
      "title": "Coerce a defined vector to numeric",
      "topics": [
        "as_numeric",
        "as_numeric.haven_labelled_defined"
      ]
    },
    {
      "page": "as_tibble.dataset_df",
      "title": "Coerce a 'dataset_df' to a tibble",
      "concept": [
        "tibble.methods"
      ],
      "topics": [
        "as.tibble.dataset_df",
        "as_tibble",
        "as_tibble.dataset_df"
      ]
    },
    {
      "page": "as_value_key",
      "title": "Coerce semantic mappings to canonical key-value form",
      "topics": [
        "as_value_key",
        "invert_value_key"
      ]
    },
    {
      "page": "as.data.frame.dataset_df",
      "title": "Convert a 'dataset_df' to a base 'data.frame'",
      "topics": [
        "as.data.frame.dataset_df"
      ]
    },
    {
      "page": "as.Date.haven_labelled_defined",
      "title": "Coerce a defined Date vector to a base R Date",
      "topics": [
        "as.Date.haven_labelled_defined"
      ]
    },
    {
      "page": "as.POSIXct.haven_labelled_defined",
      "title": "Coerce a defined POSIXct vector to a base R POSIXct",
      "topics": [
        "as.POSIXct.haven_labelled_defined"
      ]
    },
    {
      "page": "bibrecord",
      "title": "Create a Modern Metadata Object Compatible with bibentry",
      "concept": [
        "bibrecord functions"
      ],
      "topics": [
        "bibrecord"
      ]
    },
    {
      "page": "bind_defined_rows",
      "title": "Bind strictly defined rows",
      "topics": [
        "bind_defined_rows"
      ]
    },
    {
      "page": "c.haven_labelled_defined",
      "title": "Combine defined vectors with metadata checks",
      "topics": [
        "c.haven_labelled_defined"
      ]
    },
    {
      "page": "contributor",
      "title": "Get or set contributors",
      "concept": [
        "bibliographic helper functions"
      ],
      "topics": [
        "contributor",
        "contributor<-"
      ]
    },
    {
      "page": "creator",
      "title": "Get/set the Creator of the object.",
      "concept": [
        "bibliographic helper functions"
      ],
      "topics": [
        "creator",
        "creator<-"
      ]
    },
    {
      "page": "dataset_df",
      "title": "Create a new 'dataset_df' object",
      "topics": [
        "as_dataset_df",
        "dataset_df",
        "is.dataset_df",
        "is_dataset_df",
        "names.dataset_df",
        "print.dataset_df"
      ]
    },
    {
      "page": "dataset_format",
      "title": "Get or set the technical format of a dataset",
      "concept": [
        "bibliographic helper functions"
      ],
      "topics": [
        "dataset_format",
        "dataset_format<-"
      ]
    },
    {
      "page": "dataset_title",
      "title": "Get or Set the Title of a Dataset",
      "concept": [
        "bibliographic helper functions"
      ],
      "topics": [
        "dataset_title",
        "dataset_title<-"
      ]
    },
    {
      "page": "dataset_to_triples",
      "title": "Dataset to triples (three columns or N-Triples)",
      "topics": [
        "dataset_to_triples"
      ]
    },
    {
      "page": "defined",
      "title": "Create a semantically enriched vector with variable-level metadata",
      "topics": [
        "defined",
        "is.defined",
        "summary.haven_labelled_defined"
      ]
    },
    {
      "page": "describe",
      "title": "Describe a dataset in N-Triples format",
      "topics": [
        "describe"
      ]
    },
    {
      "page": "description",
      "title": "Get or set the dataset Description",
      "concept": [
        "bibliographic helper functions"
      ],
      "topics": [
        "description",
        "description<-"
      ]
    },
    {
      "page": "gdp",
      "title": "A Small GDP Dataset",
      "topics": [
        "gdp"
      ]
    },
    {
      "page": "geolocation",
      "title": "Get or Set the Geolocation of a Dataset Object",
      "concept": [
        "bibliographic helper functions"
      ],
      "topics": [
        "geolocation",
        "geolocation<-"
      ]
    },
    {
      "page": "get_bibentry",
      "title": "Get or set the bibentry",
      "concept": [
        "bibliographic helper functions"
      ],
      "topics": [
        "get_bibentry",
        "set_bibentry<-"
      ]
    },
    {
      "page": "get_variable_concepts",
      "title": "Get concepts for all variables in a dataset_df",
      "topics": [
        "get_variable_concepts"
      ]
    },
    {
      "page": "id_to_column",
      "title": "Add Identifier to First Column of a Dataset",
      "topics": [
        "id_to_column"
      ]
    },
    {
      "page": "identifier",
      "title": "Get or Set the Identifier of a Dataset or Metadata Record",
      "concept": [
        "Reference metadata functions"
      ],
      "topics": [
        "identifier",
        "identifier<-"
      ]
    },
    {
      "page": "language",
      "title": "Set the Primary Language of a Dataset",
      "concept": [
        "bibliographic helper functions"
      ],
      "topics": [
        "language",
        "language<-"
      ]
    },
    {
      "page": "n_triple",
      "title": "Create an N-Triple",
      "topics": [
        "n_triple"
      ]
    },
    {
      "page": "n_triples",
      "title": "Create N-Triples",
      "topics": [
        "n_triples"
      ]
    },
    {
      "page": "orange_df",
      "title": "Growth of Orange Trees",
      "topics": [
        "orange_df"
      ]
    },
    {
      "page": "prelabel",
      "title": "Add lightweight semantic mappings to a vector",
      "topics": [
        "is.prelabelled",
        "prelabel"
      ]
    },
    {
      "page": "print.haven_labelled_defined",
      "title": "Print a defined (haven_labelled_defined) vector",
      "topics": [
        "print.haven_labelled_defined"
      ]
    },
    {
      "page": "provenance",
      "title": "Get or update provenance information",
      "topics": [
        "provenance",
        "provenance<-"
      ]
    },
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