Creating Your Account
Before you can start adding your data to Scholars Portal Dataverse, you must first create an account.
To do this, visit the Dataverse home page and click “Sign Up” in the upper right corner. Fill in the required information on the following page to create your account.
Managing Your Account
Once you have a Dataverse account, you can change the account information (such as name, password, or university affiliation) at any time.
Here you will find a listing of all the dataverses, datasets, and files that you have created, uploaded or that you have access to edit. Use the filters provided to search through all the listed dataverses, datasets, and files.
Notifications appear in the notifications tab on your account page and are also displayed as a number in a red box next to your account name.
Dataverse will send you a notification when you create your account, after you’ve created a dataverse or added a dataset, or when another Dataverse user has requested access to a restricted file in one of your datasets.
This page allows you to view and edit your account information, including user name, email address and affiliated institution. Your account password can also be reset from here.
An API token is a form of authentication which is similar to a username and password. Use this tab to create a new API Token. For more information on Dataverse’s APIs, please see the API Guide.
Creating a Dataverse
Once you have an account and are logged in, you can create your own dataverses.
Step 1: Researchers affiliated with a participating institution
Step 1: Other researchers
Step 2: Open a new dataverse
Step 3: Add in the required information about the dataverse
Step 4: Process is complete
Please see the Advanced User Guide here for more information on creating dataverses.
Editing a Dataverse
Editing options you will see include:
- General Information : Edit the name, identifier, category, contact email, affiliation, description, Metadata Elements, and facets associated with your dataverse.
- Theme and Widgets : Upload a logo for your dataverse, add a link to your department or personal website, and select colors for your dataverse to personalize it. Also get codes to add to your website to have your dataverse displayed on it.
- Permissions : Give other Dataverse users permission to see or add to your dataverse. Permissions can be granted for both individuals and groups, and can be applied to both published and unpublished dataverses. This function will also let you assign individuals roles for the dataverse, making this an excellent tool to facilitate group collaboration.
- Dataset Templates : You can create a study template to copy the metadata from a similar study so that you do not have to re-enter the data for each individual study; for example, if you have multiple studies that were a part of the same project, you may want to create a template.
- Dataset Guestbooks : Keep track of who is downloading the files from your datasets.
- Featured Dataverses : If you have one or more dataverses, you can use this option to show featured dataverses at the top of your dataverse page. This can help you and others easily find interesting or important dataverses.
- Delete Dataverse: You are able to delete your dataverse as long as it is not published and does not have any draft datasets.
For more information on each of these topics, please see the Advanced User Guide.
See the Advanced User Guide here for more information on assigning roles and permissions.
Would you like to grant dataverse /study/data access permissions only to researchers at your institution? This can be accomplished by using an IP group from a participating institution. These are able to identify users accessing Dataverse 4 items from a specific IP range (e.g. while on campus at a particular institution).
The following groups have already been created for participating institutions:
- OCULIP (for all OCUL schools)
Publishing a Dataverse
When you publish a dataverse, you make it available to the public so that other users can browse or search for it.
For a full list of metadata fields in Dataverse and descriptions view this pdf document.
Dataverse metadata is compliant with:
- DDI schema version 2. Metadata can be mapped easily to a DDI, and be exported into XML format for preservation and interoperability.
- Simple Dublin Core (DC) requirements.
- For imports only, Content Standard for Digital Geospatial Metadata (CSDGM), Vers. 2 (FGDC-STD-001-1998) (FGDC).
See the Advanced User Guide’s Metadata References section for more information on the metadata schemas supported for Citation and Domain Specific Metadata in Dataverse.