Adding a New Dataset
Note that each institution using Scholars Portal Dataverse may set up the service differently for their users. If you don’t see the “Add Data” button appear after login, follow any instructions provided on your institution’s Dataverse landing page, or contact the administrator for your institution’s Dataverse to find out how to deposit using the “Contact” link in the upper-right corner of the dataverse.
If you have access to add data to a dataverse, you can follow the steps below.
Step 1. Click on your user name and select “My Data” from the dropdown menu.
Step 2. Select whichever of your dataverses that you would like to add a dataset to (if you need to create a new dataverse, please follow the instructions on the previous page).
Step 3. Click on the “Add Data” button and select “New Dataset” in the dropdown menu.
Step 4. To create a Data Citation with a DOI, you will need to enter the required fields at minimum (indicated with an asterisk).
Step 5. Upload relevant files to your dataset by clicking on “Select Files to Add”, or drag and drop files directly into the Dropbox from your computer.
Any file type can be uploaded to Dataverse, including: tabular data files (Stata, SPSS, R, Excel(xlsx) and CSV), shapefiles, Flexible Image Transport System files, and compressed files. For more information please see the File Handling & Uploading section of the Advanced User Guide.
Benefits of using tabular data:
Files in certain formats – Stata, SPSS, R, Excel(xlsx) and CSV – may be ingested as tabular data. Tabular data format allows users to visualize and explore data using Datavere’s Data Explorer – a statistical data exploration application integrated within Dataverse.
For more information on tabular data file advanced ingest options visit this section of the Advanced User Guide, and for further details on the Explore function, see the Using the Data Explorer section on this guide.
Step 6. Click the “Save Dataset” button when you are done. Your unpublished dataset has now been created.
Datasets can be edited at any time once they have been created.
Once you are in the dataset, you have multiple options for editing it.
For more information on editing datasets (including file tags, establishing terms and permissions, creating private URLs and the use of guestbooks to monitor data use) please see the applicable sections of the Advanced User Guide available here.
Datasets and Restricted File Permissions
Use dataset permissions to control who has access to both datasets and restricted files.
After clicking on the “Edit” button and selecting “Permissions”, choose whether you’d like to modify either “Dataset” or “Restricted Files” permissions.
These processes are both very similar to assigning roles for a dataverse, as described here on this guide.
See the Permissions section of the Advanced User Guide for further information on granting dataset permissions and restricting/unrestricting files.
Publishing a Dataset
When you publish a dataset or dataverse (available to an Admin, Curator, or any custom role which has this level of permission assigned), you make it available to the public so that other users can browse or search for it.
It is important to note that in order for a dataset to be published, the dataverse in which it is deposited must also be published. If you attempt to publish a dataset before the dataverse has been published, you will be offered the option to publish both simultaneously.
Whenever you edit your dataset or dataverse, you are able to publish an updated version of it. The “Publish” button will reappear whenever you edit the dataset or dataverse.
Note: Prior to publishing your dataset the Data Citation will indicate that this is a draft; the “DRAFT VERSION” text will be removed as soon as you Publish your dataset.