Initiate a SWORD (possibly unpublished) dataset
initiate_sword_dataset(
dataverse,
body,
key = Sys.getenv("DATAVERSE_KEY"),
server = Sys.getenv("DATAVERSE_SERVER"),
...
)
A Dataverse alias or ID number, or an object of class “dataverse”, perhaps as returned by service_document
.
A list containing one or more metadata fields. Field names must be valid Dublin Core Terms labels (see details, below). The title, description, and creator fields are required.
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")
.
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
. See use_cache
for details
on how the R dataverse package uses disk and session caches to
improve network performance.
An object of class “dataset_atom”.
This function is used to initiate a dataset in a (SWORD) Dataverse by supplying relevant metadata. The function is part of the SWORD API (see Atom entry specification), which is used to upload data to a Dataverse server. Allowed fields are: “abstract”, “accessRights”, “accrualMethod”, “accrualPeriodicity”, “accrualPolicy”, “alternative”, “audience”, “available”, “bibliographicCitation”, “conformsTo”, “contributor”, “coverage”, “created”, “creator”, “date”, “dateAccepted”, “dateCopyrighted”, “dateSubmitted”, “description”, “educationLevel”, “extent”, “format”, “hasFormat”, “hasPart”, “hasVersion”, “identifier”, “instructionalMethod”, “isFormatOf”, “isPartOf”, “isReferencedBy”, “isReplacedBy”, “isRequiredBy”, “issued”, “isVersionOf”, “language”, “license”, “mediator”, “medium”, “modified”, “provenance”, “publisher”, “references”, “relation”, “replaces”, “requires”, “rights”, “rightsHolder”, “source”, “spatial”, “subject”, “tableOfContents”, “temporal”, “title”, “type”, and “valid”.
There are two ways to create dataset: native API (create_dataset
) and SWORD API (initiate_sword_dataset
).
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
if (FALSE) { # \dontrun{
# retrieve your service document (dataverse list)
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)
# add files to dataset
tmp <- tempfile(fileext = ".csv")
write.csv(iris, file = tmp)
add_file(dat, file = tmp)
# publish dataset
publish_dataset(dat)
} # }