...
A Dataverse repository is the software platform, which hosts multiple virtual data archives. Each of these archives contains a collection, a collection contains datasets, and each dataset contains descriptive metadata and data files. However, these archives are referred to within the Dataverse ecosystem as a “dataverse” and each dataverse can contain multiple sub-dataverses. For the sake of clarity, we will only refer to the “University of Wyoming Dataverse Collection” throughout the rest of the tutorial this user guide and if there is any interest in creating a separate dataverse or sub-dataverse please contact wyodata@uwyo.edu to consult with the UW-libraries on the best path forward.
...
| Note |
|---|
WARNING: you must have your Two-Factor authentication configured before continuing to this step. Be ready to accept the push notification once you click the “Sign In” button |
...
You can confirm that you have logged in by looking at the far right of top menu bar, where your name should be displayed.
...
When you log in for the first time, click on your user account (in red text, upper right corner), then go to “Account Information.” From there, click on the “Send Verification Email” button. You will receive a verification email from wyodata@uwyo.edu asking you to verify your email address. Check your clutter and spam folders if you don’t receive that verification email. Click the link when you receive the email within 24 hours.
...
You can confirm that you have logged in by looking at the far right of top menu bar, where your name should be displayed.
...
Adding a Dataset
Once logged in, you can add a dataset that you would like published by clicking the “Add Data” button. The button has a drop down to add a new Dataverse or new Dataset.
...
If you think you need a new Dataverse, please contact wyodata@uwyo.edu to consult with the UW-libraries. Otherwise, please proceed with the following steps for adding a new dataset. . To do so, please take the following steps:
...
Click on the “University of Wyoming Dataverse Collection” logo near the center left.
...
Click on the “Add Data” button on the right and select “New Dataset”.
...
Proceed to add the metadata for the dataset.
...
Keep in mind that this basic citation metadata is how your data will be cited in research literature and it is how it will be discovered & indexed on the web. The more specific it is, the better (the opposite is also true!).
Unless you have been granted authorization to create a new Dataverse Collection, the “Host Dataverse” will be “University of Wyoming Dataverse Collection.”
Title field:
Enter a title that is actually useful to a person who is not familiar with your data. If it is replication data, you may use the “Add Replication Data for” button and enter the title of your associated article/study.Author field:
Enter your name (Lastname, Firstname) and affiliation. We *require* that you add an ORCID Identifier Type and Identifier (which is a 16 digit string) to your author information. If you don’t have an ORCID, sign up for one at https://orcid.org/If you have co-authors, enter additional authors by clicking on the “+” button to the right of that field.
ORCID's are not required for co-authors, but we highly recommend adding them if possible.
Point of Contact field:
This is how users will contact you if they have questions about your dataset. We strongly suggest that you use your UW email and not a personal email.Description field:
Much like the title, the description should be populated with information that describes your data which will also be useful for someone who is not familiar with it.Subject field:
This is a controlled vocabulary with 14 different selections available. Pick the one that most closely matches your data. We will not add custom subject fields.Keyword field:
If you want to add keywords that will be associated with your dataset, add them in the ‘Term’ box. This is a repeatable field.Related Publication field:
If you are publishing an article with which your data is associated, we highly recommend you enter that citation information here. If you have a DOI for that publication, add the ID type (DOI) and enter the DOI string in the Identifier sub-field. This will show up as a link to that publication on your dataset record.
...
| Note |
|---|
If you have a dataset larger than 5GB, you will need to use the DVWebLoader option. To load files this way, add your readme.txt now, but skip adding your data files in this step, then simply click the “Save Dataset” button for now (you will add your data files later). . Instructions for submitting a dataset that is larger than 5GB are available in the next section. |
Once you click “Save Dataset” you will see a draft of your submission as follows.
...
Metadata Field | Description | Examples |
|---|---|---|
Topic Classification | Indicates a broad, important topic or subject that the dataset covers | solid state physics, quantum chemistry, ethnopaleontology |
Date of Collection | The dates when the data were collected or generated | Start: 2020-05-10, End: 2020-09-30 |
Production Location | The location where the data and any related materials were produced or collected | Beartooth Mountain, Latitude: X Longitude: Y |
Funding Information | Information about the dataset's financial support | SF grant no. 1234567, School of Energy Resources |
Software | Information about the software used to generate the dataset | LabVIEW, Python v. 3.11.9, ORCA |
...
Submitting
...
Datasets Over 5GB
If you skipped the “Add Files” step on the last form because the dataset you wanted to publish was too large, you may add them on the draft page of your dataset by clicking on the “Upload Files” button in the lower right side of the page.
...
The “Upload a Folder” button will open a new tab which will let you select an entire directory or folder to upload using DVWebLoader. WDR will keep the organizational structure of your directory and everything in it. If you are uploading a large dataset, we suggest that you use a very fast connection and that you do not use campus or personal wifi as that will significantly slow down the process. Note that there will be no upload progress shown, but you will see a green message notifying of successful upload once the upload is complete.
...
Setting Terms/Licensing for your
...
Data
By default, WDR is set to attach a CC0 license to all data submitted to the system. A CC0 license means that your data will be in the public domain, with no restrictions on use and no copyright. If you would like to change the license for your dataset, click the “Edit Dataset” button, then click on “Terms.”
...
If you have questions about these licenses, please contact us at wyodata@uwyo.edu
...
Placing an Embargo on your
...
Dataset
Should you, your co-authors, or your publisher opt to embargo your dataset, you must do that before submitting for review. You must upload your data before you can set an embargo. To do this, select the files you wish to embargo, then go to the “Edit Files” button, then select “Embargo.”
...
Once your dataset is published, you will receive another email letting you know that it has been published. Should you choose to cite or share your own data, please use the DOI (Digital Object Identifier) assigned to your dataset and not the URL at which it is accessible.
...
De-accessioning
...
Data/Take Down Requests
Generally speaking, we do not remove data once it has been published in WDR. If you need us to remove your data, we will review your request. Please do note that we cannot delete a DOI once it has been created and we cannot permanently delete a record either. The existence of the record will still be available in WDR, but the content will not.
...