publish_sword_dataset function

Publish dataset (SWORD)

Publish a SWORD (possibly unpublished) dataset

publish_sword_dataset(
  dataset,
  key = Sys.getenv("DATAVERSE_KEY"),
  server = Sys.getenv("DATAVERSE_SERVER"),
  ...
)

Arguments

• dataset: A dataset DOI (or other persistent identifier), an object of class dataset_atom or dataset_statement , or an appropriate and complete SWORD URL.

• key: A character string specifying a Dataverse server API key. If one is not specified, functions calling authenticated API endpoints will fail. Keys can be specified atomically or globally using Sys.setenv("DATAVERSE_KEY" = "examplekey").

• server: A character string specifying a Dataverse server. Multiple Dataverse installations exist, with "dataverse.harvard.edu" being the most major. The server can be defined each time within a function, or it can be set as a default via an environment variable. To set a default, run Sys.setenv("DATAVERSE_SERVER" = "dataverse.harvard.edu")

  or add DATAVERSE_SERVER = "dataverse.harvard.edu in one's .Renviron

  file (usethis::edit_r_environ()), with the appropriate domain as its value.

• ...: Additional arguments passed to an HTTP request function, such as GET, POST, or DELETE.

Returns

A list.

Details

This function is used to publish a dataset by its persistent identifier. This cannot be undone. The function is part of the SWORD API, which is used to upload data to a Dataverse server.

Examples

## Not run:

# retrieve your service document
d <- service_document()

# create a list of metadata
metadat <- list(title = "My Study",
                creator = "Doe, John",
                description = "An example study")

# create the dataset in first dataverse
dat <- initiate_sword_dataset(d[[2]], body = metadat)

# publish dataset
publish_sword_dataset(dat)

# delete a dataset
delete_dataset(dat)
## End(Not run)

See Also

Managing a Dataverse: publish_dataverse; Managing a dataset: dataset_atom, list_datasets, create_dataset, delete_sword_dataset, publish_dataset; Managing files within a dataset: add_file, delete_file