datacite: DataCite object
In dataobservatory-eu/dataobservatory: Tidy and Documented Datasets

Description Usage Arguments Details Value See Also Examples

A metadata object with DataCite mandatory, recommended and optional fields.

datacite(
  dataset_code,
  Identifier = NA_character_,
  Creator,
  Title,
  Publisher = NA_character_,
  PublicationYear = NA_real_,
  ResourceType = "Dataset",
  Subject,
  Contributor = NA_character_,
  Date = as.character(Sys.Date()),
  Language = "eng",
  AlternateIdentifier = NA_character_,
  RelatedIdentifier = NA_character_,
  Size = NA_character_,
  Format = NA_character_,
  Version = NA_character_,
  Rights = add_rights(),
  Description = NA_character_,
  GeoLocation = NA_character_,
  FundingReference = NA_character_,
  RelatedItem = NA_character_
)

datacite_dataset(
  dataset,
  dataset_code = NULL,
  description = NULL,
  keywords = NULL,
  Title = NULL,
  Subject = NULL,
  Creator,
  Contributor = NULL
)

is.datacite(x)

## S3 method for class 'datacite'
print(x, ...)

`dataset_code`	A short, unique, programatically usable, memorizable dataset ID, given by an observatory curator.
`Identifier`	Identifiers created by `add_identifiers`
`Creator`	Creator field created by `add_creators`.
`Title`	The title of the dataset.
`Publisher`	The publisher of the dataset.
`PublicationYear`	The publication year given as a four-digit number.
`ResourceType`	The type of the resource, defaults to `"Dataset"`.
`Subject`	The subject
`Contributor`	The Contributor field created by `add_contributors`.
`Date`	The Date filed created by `add_dates`.
`Language`	Defaults to `'eng'`.
`AlternateIdentifier`	Defaults to NA_character_. It should have type subproperty.
`RelatedIdentifier`	Defaults to NA_character_. Related identifier should have type and relation type sub-properties.
`Size`	The size of the dataset, as measured in CSV format in bytes.
`Format`	The format(s) of the dataset.
`Version`	The version of the dataset.
`Rights`	The rights related to the datset, created by `add_rights`.
`Description`	The description of the dataset.
`dataset`	A dataset object. Its Size, Geolocation and Date properties will be added to the metadata object.
`description`	A basic description for the Abstract property of the description.
`keywords`	In the `Other` sub-field of the `Description` metadata property, we record keywords for structuring our observatory.
`Geolocation`	The geographical dimension of the observation in the dataset, created by `add_geolocation`.
`n`	The number of observations to print.

Use datacite_dataset to fill up a DataCite record with adding only those parameters that have no default values. In this case, a given dataset objects:

Title will be added as a string.
Date will be added with add_dates
Rigths will be set to the default value by add_rights
Size will be added by add_size
GeoLocation will be added by add_geolocation

Dublin Core: A Cross-Domain Attribute Set

Mandatory Properties: DataCite Metadata Schema v4.4 Mandatory Properties

Recommended and Optional Properties: DataCite Metadata Schema v4.4 Recommended and Optional Properties

A data frame of DataCite properties are variable columns.

datacite_properties

data("small_population")

small_population_dataset <- dataset (
         x= small_population,
         dataset_code = "small_population_total",
         dataset_title = "Population of Small European Countries",
         freq = "A",
         unit = "NR",
         unit_name = "number")

datacite_dataset (
        dataset = small_population_dataset,
        dataset_code = "small_population_total",
        Title = "Population on 1 January by age and sex",
        Subject = "Demography",
        Creator = add_creators("Jane", "Doe", "Reprex")
        )
data("small_population")
small_population_dataset <- dataset (
  x = small_population,
  dataset_code = "small_population_total",
  dataset_title = "Population of Small European Countries",
  freq = "A",
  unit = "NR",
  unit_name = "number")

#The final DataCite properties are Capitalized:

small_population_datacite <- datacite_dataset(
  dataset = small_population_dataset,
  keywords = c("greendeal", "Demography", "Testing"),
  description = "Example dataset with three small countries",
  Subject = "Demography",
  Creator = "Joe, Doe"
  )