A dataverse is a container for datasets (research data, code, documentation, and metadata) and other dataverses, which can be setup for individual researchers, departments, journals and organizations.
Once a user creates a dataverse they, by default, become the administrator of that dataverse. The dataverse administrator has access to manage the settings described in this guide.
Creating a dataverse is easy but first you must be a registered user (see Account Creation + Management).
*Required fields are denoted by a red asterisk.
To edit your dataverse, navigate to your dataverse homepage and select the “Edit Dataverse” button, where you will be presented with the following editing options:
The General Information page is how you edit the information you filled in while creating your dataverse. If you need to change or add a contact email address, this is the place to do it. Additionally, you can update the metadata elements used for datasets within the dataverse, change which metadata fields are hidden, required, or optional, and update the facets you would like displayed for browsing the dataverse. If you plan on using templates, you need to select the metadata fields on the General Information page.
Tip: The metadata fields you select as required, will appear on the Create Dataset form when someone goes to add a dataset to the dataverse.
The Theme feature provides you with a way to customize the look of your dataverse. You can decide either to use the customization from the dataverse above yours or upload your own image file. Supported image types are JPEG, TIFF, or PNG and should be no larger than 500 KB. The maximum display size for an image file in a dataverse’s theme is 940 pixels wide by 120 pixels high. Additionally, you can select the colors for the header of your dataverse and the text that appears in your dataverse. You can also add a link to your personal website, the website for your organization or institution, your department, journal, etc.
The Widgets feature provides you with code for you to put on your personal website to have your dataverse displayed there. There are two types of Widgets for a dataverse, a Dataverse Search Box widget and a Dataverse Listing widget. From the Widgets tab on the Theme + Widgets page, you can copy and paste the code snippets for the widget you would like to add to your website. If you need to adjust the height of the widget on your website, you may do so by editing the heightPx=500 parameter in the code snippet.
The Dataverse Search Box Widget will add a search box to your website that is linked to your dataverse. Users are directed to your dataverse in a new browser window, to display the results for search terms entered in the input field.
The Dataverse Listing Widget provides a listing of all your dataverses and datasets for users to browse, sort, filter and search. When someone clicks on a dataverse or dataset in the widget, it displays the content in the widget on your website. They can download data files directly from the datasets within the widget. If a file is restricted, they will be directed to your dataverse to log in, instead of logging in through the widget on your website.
When you access a dataverse’s permissions page, you will see there are three sections: Permissions, Users/Groups, and Roles.
Clicking on Permissions will bring you to this page:
By clicking on the Edit Access button, you are able to change the settings allowing no one or anyone to add either dataverses or datasets to a dataverse.
The Edit Access pop up allows you to also select if someone adding a dataset to this dataverse should be allowed to publish it (Curator role) or if the dataset will be submitted to the administrator of this dataverse to be reviewed then published (Contributor role). These Access settings can be changed at any time.
You can also give access to a Dataverse user to allow them to access an unpublished dataverse as well as other roles. To do this, click on the Assign Roles to Users/Groups button in the Users/Groups section. You can also give multiple users the same role at one time. This roles can be removed at any time.
How do you create a template?
* Please note that the ability to choose which metadata fields are hidden, required, or optional is done on the General Information page for the dataverse.
Guestbooks allow you to collect data about who is downloading the files from your datasets. You can decide to collect account information (username, given name & last name, affiliation, etc.) as well as create custom questions (e.g., What do you plan to use this data for?). You are also able to download the data collected from the enabled guestbooks as Excel files to store and use outside of Dataverse.
How do you create a guestbook?
What can you do with a guestbook? After creating a guestbook, you will notice there are several options for a guestbook and appear in the list of guestbooks.
Featured Dataverses is a way to display sub dataverses in your dataverse that you want to feature for people to easily see when they visit your dataverse.
Click on Featured Dataverses and a pop up will appear. Select which sub dataverses you would like to have appear.
Note: Featured Dataverses can only be used with published dataverses.
Once your dataverse is ready to go public, go to your dataverse page, click on the “Publish” button on the right hand side of the page. A pop-up will appear to confirm that you are ready to actually Publish, since once a dataverse is made public, it can no longer be unpublished.