If you are a researcher or curator who wants to automate parts of your workflow, this section should help you get started. The Introduction section lists resources for other groups who may be interested in Dataverse Software APIs such as developers of integrations and support teams.
Contents:
Rather than using a production Dataverse installation, API users are welcome to use http://demo.dataverse.org for testing. You can email support@dataverse.org if you have any trouble with this server.
If you would rather have full control over your own test server, deployments to AWS, Docker, Vagrant, and more are covered in the Developer Guide and the Installation Guide.
Many Dataverse Software APIs require an API token.
Once you have identified a server to test with, create an account, click on your name, and get your API token. For more details, see the API Tokens and Authentication section.
The examples in this guide use curl for the following reasons:
You’ll find curl examples that look like this:
export SERVER_URL=https://demo.dataverse.org
export QUERY=data
curl $SERVER_URL/api/search?q=$QUERY
What’s going on above is the declaration of “environment variables” that are substituted into a curl command. You should run the “export” commands but change the value for the server URL or the query (or whatever options the command supports). Then you should be able to copy and paste the curl command and it should “just work”, substituting the variables like this:
curl https://demo.dataverse.org/api/search?q=data
If you ever want to check an environment variable, you can “echo” it like this:
echo $SERVER_URL
If you don’t like curl, don’t have curl, or want to use a different programming language, you are encouraged to check out the Python, Javascript, R, and Java options in the Client Libraries section.
A quick example search for the word “data” is https://demo.dataverse.org/api/search?q=data
See the Search API section for details.
See Date Range Search Example.
It’s also possible to find recently published datasets via OAI-PMH.
The Data Access API section explains how to download files.
To download all the files in a dataset, see Downloading All Files in a Dataset.
In order to download individual files, you must know their database IDs which you can get from the dataverse_json metadata at the dataset level. See Export Metadata of a Dataset in Various Formats.
Dataset metadata is available in a variety of formats listed at Supported Metadata Export Formats.
In addition to the tasks listed above, your Dataverse installation supports many other operations via API.
See Lists of Dataverse APIs and Types of Dataverse Software API Users to get oriented.
If you’re looking for some inspiration for how you can use the Dataverse Software APIs, there are open source projects that integrate with the Dataverse Software listed in the Apps section.