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 sub-dataverse is easy but first you must be a registered user (see Institutional Log In).
1. Use the search box to identify a suitable school/institute/research centre dataverse.
2. Go to the school/institute/research centre dataverse, click “Add Data” button and select “New Dataverse”.
3. Once on the “New Dataverse” page fill in the following fields:
The recommended template for researcher’s sub-dataverse description is:
| <p> <b>Appointment</b>: Professor/Associate Professor/Assistant
Professor/Research Fellow/PhD student</p>
<p> <b>Research topics</b>: </p>
<p>• topic 1
<br>• topic 2
<br>• topic 3 </p>
<p>For more information, visit <a href=“place your webpage URL here">webpage.</a></p>
4. Selected metadata elements are also used to pick which metadata fields you would like to use for creating templates for your datasets. Metadata fields can be hidden, or selected as required or optional. Once you have selected all the fields you would like to use, you can create your template(s) after you finish creating your dataverse.
5. Click “Create Dataverse” button and you’re done!
*Required fields are denoted by a red asterisk.
A dataset in Dataverse is a container for your data, documentation, code, and the metadata describing this Dataset.
1. Navigate to the dataverse in which you want to add a dataset.
2. Click on the “Add Data” button and select “New Dataset” in the dropdown menu.
3. To quickly get started, enter at minimum all the required fields with an asterisk to get a Data Citation with a DOI (e.g., the Dataset Title, Author, Description, Contact Email and Subject).
4. Scroll down to the “Files” section and click on “Select Files to Add” to add all the relevant files to your Dataset. You can also upload your files directly from your Dropbox. Tip: You can drag and drop or select multiple files at a time from your desktop, directly into the upload widget. Your files will appear below the “Select Files to Add” button where you can add a description and tags (via the “Edit Tag” button) for each file. Additionally, an MD5 checksum will be added for each file. If you upload a tabular file a Universal Numerical Fingerprint (UNF) will be added to this file.
5. Click the “Save Dataset” button when you are done. Your unpublished dataset is now created.
Note 1: You can add additional metadata once you have completed the initial dataset creation by going to Edit Dataset > Metadata.
Supported HTML Fields
The following HTML tags for any of textbox metadata fields (i.e., Description) are supported: <a>, <b>, <blockquote>, <br>,<code>, <del>, <dd>, <dl>, <dt>, <em>, <hr>, <h1>-<h3>, <i>, <img>, <kbd>, <li>, <ol>, <p>, <pre>, <s>, <sup>, <sub>, <strong>, <strike>, <ul>.