Building External Tools¶

Introduction¶

External tools are additional applications the user can access or open from Dataverse to preview, explore, and manipulate data files and datasets. The term “external” is used to indicate that the tool is not part of the main Dataverse application.

Once you have created the external tool itself (which is most of the work!), you need to teach Dataverse how to construct URLs that your tool needs to operate. For example, if you’ve deployed your tool to fabulousfiletool.com your tool might want the ID of a file and the siteUrl of the Dataverse installation like this: https://fabulousfiletool.com?fileId=42&siteUrl=http://demo.dataverse.org

In short, you will be creating a manifest in JSON format that describes not only how to construct URLs for your tool, but also what types of files your tool operates on, where it should appear in the Dataverse web interfaces, etc.

The possibilities for external tools are endless. Let’s look at some examples to get your creative juices flowing. Then we’ll look at a complete list of parameters you can use when creating the manifest file for your tool.

If you’re still looking for more information on external tools, you can also watch a video introduction called Background on the External Tool Framework (slides) from the 2020 Dataverse Community Meeting.

Examples of External Tools¶

Note: This is the same list that appears in the External Tools section of the Admin Guide.

How External Tools Are Presented to Users¶

An external tool can appear in Dataverse in a variety of ways:

• as an explore, preview, or configure option for a file
• as an explore option for a dataset
• as an embedded preview on the file landing page

See also the Testing External Tools section of the Admin Guide for some perspective on how installations of Dataverse will expect to test your tool before announcing it to their users.

Creating an External Tool Manifest¶

External tools must be expressed in an external tool manifest file, a specific JSON format Dataverse requires. As the author of an external tool, you are expected to provide this JSON file and installation instructions on a web page for your tool.

{
  "displayName": "Fabulous File Tool",
  "description": "Fabulous Fun for Files!",
  "toolName": "fabulous",
  "scope": "file",
  "types": [
    "explore",
    "preview"
  ],
  "toolUrl": "https://fabulousfiletool.com",
  "contentType": "text/tab-separated-values",
  "toolParameters": {
    "queryParameters": [
      {
        "fileid": "{fileId}"
      },
      {
        "key": "{apiToken}"
      }
    ]
  }
}

{
  "displayName": "Dynamic Dataset Tool",
  "description": "Dazzles! Dizzying!",
  "scope": "dataset",
  "types": [
    "explore"
  ],
  "toolUrl": "https://dynamicdatasettool.com/v2",
  "toolParameters": {
    "queryParameters": [
      {
        "PID": "{datasetPid}"
      },
      {
        "apiToken": "{apiToken}"
      }
    ]
  }
}

Testing Your External Tool¶

As the author of an external tool, you are not expected to learn how to install and operate Dataverse. There’s a very good chance your tool can be added to a server Dataverse developers use for testing if you reach out on any of the channels listed under Getting Help in the Developer Guide.

By all means, if you’d like to install Dataverse yourself, a number of developer-centric options are available. For example, there’s a script to spin up Dataverse on EC2 at https://github.com/IQSS/dataverse-sample-data . The process for using curl to add your external tool to a Dataverse installation is documented under Managing External Tools in the Admin Guide.

Spreading the Word About Your External Tool¶