SWORD API

SWORD stands for “Simple Web-service Offering Repository Deposit” and is a “profile” of AtomPub (RFC 5023) which is a RESTful API that allows non-Dataverse Software to deposit files and metadata into a Dataverse installation. Client libraries are available in Python, Javascript, Java, R, Ruby, and PHP.

About

Introduced in Dataverse Network (DVN) 3.6, the SWORD API was formerly known as the “Data Deposit API” and data-deposit/v1 appeared in the URLs. For backwards compatibility these URLs continue to work (with deprecation warnings). Due to architectural changes and security improvements (especially the introduction of API tokens) in Dataverse Software 4.0, a few backward incompatible changes were necessarily introduced and for this reason the version has been increased to v1.1. For details, see Backward incompatible changes.

The Dataverse Software implements most of SWORDv2, which is specified at https://swordapp.github.io/SWORDv2-Profile/SWORDProfile.html . Please reference the SWORDv2 specification for expected HTTP status codes (i.e. 201, 204, 404, etc.), headers (i.e. “Location”), etc.

As a profile of AtomPub, XML is used throughout SWORD. As of Dataverse Software 4.0 datasets can also be created via JSON using the “native” API. SWORD is limited to the dozen or so fields listed below in the crosswalk, but the native API allows you to populate all metadata fields available in a Dataverse installation.

Authentication for SWORD

The API Tokens and Authentication section describes how to pass API tokens for the “native” API (as a header or query parameter) but SWORD uses a different mechanism known as HTTP Basic Authentication (RFC 7617).

HTTP Basic Authentication commonly makes use of both a username and a password but the SWORD API uses only a username that is populated with the user’s API token. The password should be blank or empty.

Clients such as curl expect both a username and a password separated by a colon. With curl, the way to indicate that the password should be blank or empty is to include the colon at the end of the username (the API token) like this:

curl -u 54b143b5-d001-4254-afc0-a1c0f6a5b5a7:

All the curl examples below take this form but instead of showing an API token like above, a Bash environment variable called $API_TOKEN is shown instead like this:

curl -u $API_TOKEN:

Backward incompatible changes

For better security than in DVN 3.x, usernames and passwords are no longer accepted. The use of an API token is required.

Differences in Dataverse Software 4 from DVN 3.x lead to a few minor backward incompatible changes in the Dataverse Software implementation of SWORD, which are listed below. Old v1 URLs should continue to work but the Service Document will contain a deprecation warning and responses will contain v1.1 URLs. See also Known issues.

  • Newly required fields when creating/editing datasets for compliance with the Joint Declaration for Data Citation principles.

    • dcterms:creator (maps to authorName)

    • dcterms:description

  • Deaccessioning is no longer supported. An alternative will be developed at https://github.com/IQSS/dataverse/issues/778

  • The Service Document will show a single API Terms of Use rather than root level and Dataverse collection level Deposit Terms of Use.

  • As of Dataverse Software 5.10, NONE is no longer supported as a license.

New features as of v1.1

  • The Dataverse Software supports API tokens and requires them to be used for APIs instead of a username and password. In the curl examples below, you will see curl -u $API_TOKEN: showing that you should send your API token as the username and nothing as the password. For example, curl -u 54b143b5-d001-4254-afc0-a1c0f6a5b5a7:. See also Authentication for SWORD.

  • SWORD operations no longer require “admin” permission. In order to use any SWORD operation in DVN 3.x, you had to be an “admin” on a Dataverse collection (the container for your dataset) and similar rules were applied in Dataverse Software 4.4 and earlier (the EditDataverse permission was required). The SWORD API has now been fully integrated with the Dataverse Software permission model such that any action you have permission to perform in the GUI or “native” API you are able to perform via SWORD. This means that even a user with a “Contributor” role can operate on datasets via SWORD. Note that users with the “Contributor” role do not have the PublishDataset permission and will not be able publish their datasets via any mechanism, GUI or API.

  • Dataverse collections can be published via SWORD.

  • Datasets versions will only be increased to the next minor version (i.e. 1.1) rather than a major version (2.0) if possible. This depends on the nature of the change. Adding or removing a file, for example, requires a major version bump.

  • “Author Affiliation” can now be populated with an XML attribute. For example: <dcterms:creator affiliation="Coffee Bean State University">Stumptown, Jane</dcterms:creator>

  • “Contributor” can now be populated and the “Type” (Editor, Funder, Researcher, etc.) can be specified with an XML attribute. For example: <dcterms:contributor type="Funder">CaffeineForAll</dcterms:contributor>

  • “License” can now be set with dcterms:license and the possible values determined by the installation (“CC0 1.0” and “CC BY 4.0” by default). “License” interacts with “Terms of Use” (dcterms:rights) in that if you include dcterms:rights in the XML and don’t include dcterms:license, the license will be “Custom Dataset Terms” and “Terms of Use” will be populated. If you don’t include dcterms:rights, the default license will be used. It is invalid to specify a license and also include dcterms:rights; an error will be returned. For backwards compatibility, dcterms:rights is allowed to be blank (i.e. <dcterms:rights></dcterms:rights>) but blank values will not be persisted to the database and the license will be set to “Custom Dataset Terms”. Note that if admins of an installation have disabled “Custom Dataset Terms” you will get an error if you try to pass dcterms:rights.

  • “Contact E-mail” is automatically populated from dataset owner’s email.

  • “Subject” uses our controlled vocabulary list of subjects. This list is in the Citation Metadata of our User Guide > Metadata References. Otherwise, if a term does not match our controlled vocabulary list, it will put any subject terms in “Keyword”. If Subject is empty it is automatically populated with “N/A”.

  • Zero-length files are now allowed (but not necessarily encouraged).

  • “Depositor” and “Deposit Date” are auto-populated.

curl examples

Retrieve SWORD service document

The service document enumerates the Dataverse collections (also “collections” from a SWORD perspective) the user can deposit data into. The “collectionPolicy” element for each Dataverse collections contains the Terms of Use. Any user with an API token can use this API endpoint. Institution-wide Shibboleth groups are not respected because membership in such a group can only be set via a browser.

curl -u $API_TOKEN: https://$HOSTNAME/dvn/api/data-deposit/v1.1/swordv2/service-document

Create a dataset with an Atom entry

To create a dataset, you must have the “Dataset Creator” role (the AddDataset permission) on a Dataverse collection. Practically speaking, you should first retrieve the service document to list the Dataverse collections into which you are authorized to deposit data.

curl -u $API_TOKEN: --data-binary "@path/to/atom-entry-study.xml" -H "Content-Type: application/atom+xml" https://$HOSTNAME/dvn/api/data-deposit/v1.1/swordv2/collection/dataverse/$DATAVERSE_ALIAS

Example Atom entry (XML)

<?xml version="1.0"?>
<entry xmlns="http://www.w3.org/2005/Atom"
       xmlns:dcterms="http://purl.org/dc/terms/">
   <!-- some embedded metadata -->
   <dcterms:title>Roasting at Home</dcterms:title>
   <dcterms:creator>Peets, John</dcterms:creator>
   <dcterms:creator affiliation="Coffee Bean State University">Stumptown, Jane</dcterms:creator>
   <!-- Dataverse controlled vocabulary subject term -->
   <dcterms:subject>Chemistry</dcterms:subject>
   <!-- keywords -->
   <dcterms:subject>coffee</dcterms:subject>
   <dcterms:subject>beverage</dcterms:subject>
   <dcterms:subject>caffeine</dcterms:subject>
   <dcterms:description>Considerations before you start roasting your own coffee at home.</dcterms:description>
   <!-- Producer with financial or admin responsibility of the data -->
   <dcterms:publisher>Coffee Bean State University</dcterms:publisher>
   <dcterms:contributor type="Funder">CaffeineForAll</dcterms:contributor>
   <!-- production date -->
   <dcterms:date>2013-07-11</dcterms:date>
   <!-- kind of data -->
   <dcterms:type>aggregate data</dcterms:type>
   <!-- List of sources of the data collection-->
   <dcterms:source>Stumptown, Jane. 2011. Home Roasting. Coffeemill Press.</dcterms:source>
   <!-- related materials -->
   <dcterms:relation>Peets, John. 2010. Roasting Coffee at the Coffee Shop. Coffeemill Press</dcterms:relation>
   <!-- geographic coverage -->
   <dcterms:coverage>United States</dcterms:coverage>
   <dcterms:coverage>Canada</dcterms:coverage>
   <!-- license and restrictions -->
   <dcterms:license>CC0 1.0</dcterms:license>
   <!--<dcterms:rights>Downloader will not use the Materials in any way prohibited by applicable laws.</dcterms:rights>-->
   <!-- related publications -->
   <dcterms:isReferencedBy holdingsURI="http://dx.doi.org/10.1038/dvn333" agency="DOI" IDNo="10.1038/dvn333">Peets, J., &amp; Stumptown, J. (2013). Roasting at Home. New England Journal of Coffee, 3(1), 22-34.</dcterms:isReferencedBy>
</entry>

Dublin Core Terms (DC Terms) Qualified Mapping - Dataverse Project DB Element Crosswalk

DC (terms: namespace)

Dataverse Software DB Element

Required

Note

dcterms:title

title

Y

Title of the Dataset.

dcterms:creator

authorName (LastName, FirstName)

Y

Author(s) for the Dataset.

dcterms:subject

subject (Controlled Vocabulary) OR keyword

Y

Controlled Vocabulary list is in our User Guide > Metadata References.

dcterms:description

dsDescriptionValue

Y

Describing the purpose, scope or nature of the Dataset. Can also use dcterms:abstract.

dcterms:publisher

producerName

Person or agency financially or administratively responsible for the Dataset

dcterms:contributor

datasetContactEmail

Y

Contact Email is required so will need to add an attribute type=”Contact”. Also used for Funder: add attribute type=”Funder” which maps to contributorName.

dcterms:date

productionDate (YYYY-MM-DD or YYYY-MM or YYYY)

Production date of Dataset.

dcterms:type

kindOfData

Type of data included in the file: survey data, census/enumeration data, aggregate data, clinical.

dcterms:source

dataSources

List of books, articles, data files if any that served as the sources for the Dataset.

dcterms:relation

relatedMaterial

Any related material (journal article citation is not included here - see: dcterms:isReferencedBy below).

dcterms:coverage

otherGeographicCoverage

General information on the geographic coverage of the Dataset.

dcterms:license

license

Set the license. Alternatively, use the dcterms:rights field instead.

dcterms:rights

termsofuse

If not using dcterms:license, enter any terms of use or restrictions for the Dataset.

dcterms:isReferencedBy

publicationCitation

The publication (journal article, book, other work) that uses this dataset (include citation, permanent identifier (DOI), and permanent URL).

List datasets in a Dataverse Collection

You must have permission to add datasets in a Dataverse collection (the Dataverse collection should appear in the service document) to list the datasets inside. Institution-wide Shibboleth groups are not respected because membership in such a group can only be set via a browser.

curl -u $API_TOKEN: https://$HOSTNAME/dvn/api/data-deposit/v1.1/swordv2/collection/dataverse/$DATAVERSE_ALIAS

Add files to a dataset with a zip file

You must have EditDataset permission (Contributor role or above such as Curator or Admin) on the dataset to add files.

curl -u $API_TOKEN: --data-binary @path/to/example.zip -H "Content-Disposition: filename=example.zip" -H "Content-Type: application/zip" -H "Packaging: http://purl.org/net/sword/package/SimpleZip" https://$HOSTNAME/dvn/api/data-deposit/v1.1/swordv2/edit-media/study/doi:TEST/12345

Display a dataset atom entry

You must have ViewUnpublishedDataset permission (Contributor role or above such as Curator or Admin) on the dataset to view its Atom entry.

Contains data citation (bibliographicCitation), alternate URI (persistent URI of study), edit URI, edit media URI, statement URI.

curl -u $API_TOKEN: https://$HOSTNAME/dvn/api/data-deposit/v1.1/swordv2/edit/study/doi:TEST/12345

Display a dataset statement

Contains title, author, feed of file entries, latestVersionState, locked boolean, updated timestamp. You must have ViewUnpublishedDataset permission (Contributor role or above such as Curator or Admin) on the dataset to display the statement.

curl -u $API_TOKEN: https://$HOSTNAME/dvn/api/data-deposit/v1.1/swordv2/statement/study/doi:TEST/12345

Delete a file by database id

You must have EditDataset permission (Contributor role or above such as Curator or Admin) on the dataset to delete files.

curl -u $API_TOKEN: -X DELETE https://$HOSTNAME/dvn/api/data-deposit/v1.1/swordv2/edit-media/file/123

Replacing metadata for a dataset

Please note that ALL metadata (title, author, etc.) will be replaced, including fields that can not be expressed with “dcterms” fields. You must have EditDataset permission (Contributor role or above such as Curator or Admin) on the dataset to replace metadata.

curl -u $API_TOKEN: --upload-file "path/to/atom-entry-study2.xml" -H "Content-Type: application/atom+xml" https://$HOSTNAME/dvn/api/data-deposit/v1.1/swordv2/edit/study/doi:TEST/12345``

Delete a dataset

You must have the DeleteDatasetDraft permission (Contributor role or above such as Curator or Admin) on the dataset to delete it. Please note that if the dataset has never been published you will be able to delete it completely but if the dataset has already been published you will only be able to delete post-publication drafts, never a published version.

curl -u $API_TOKEN: -i -X DELETE https://$HOSTNAME/dvn/api/data-deposit/v1.1/swordv2/edit/study/doi:TEST/12345

Determine if a Dataverse Collection has been published

This API endpoint is the same as the “list datasets in a Dataverse collection” endpoint documented above and the same permissions apply but it is documented here separately to point out that you can look for a boolean called dataverseHasBeenReleased to know if a Dataverse collection has been released, which is required for publishing a dataset.

curl -u $API_TOKEN: https://$HOSTNAME/dvn/api/data-deposit/v1.1/swordv2/collection/dataverse/$DATAVERSE_ALIAS

Publish a Dataverse Collection

The cat /dev/null and --data-binary @- arguments are used to send zero-length content to the API, which is required by the upstream library to process the In-Progress: false header. You must have the PublishDataverse permission (Admin role) on the Dataverse collection to publish it.

cat /dev/null | curl -u $API_TOKEN: -X POST -H "In-Progress: false" --data-binary @- https://$HOSTNAME/dvn/api/data-deposit/v1.1/swordv2/edit/dataverse/$DATAVERSE_ALIAS

Publish a dataset

The cat /dev/null and --data-binary @- arguments are used to send zero-length content to the API, which is required by the upstream library to process the In-Progress: false header. You must have the PublishDataset permission (Curator or Admin role) on the dataset to publish it.

cat /dev/null | curl -u $API_TOKEN: -X POST -H "In-Progress: false" --data-binary @- https://$HOSTNAME/dvn/api/data-deposit/v1.1/swordv2/edit/study/doi:TEST/12345

Known issues

Bug fixes in v1.1

Client libraries