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Basic Deposit in UBC Dataverse Collection

UBC Dataverse Collection is a cross-disciplinary research data collection on Borealis. Datasets in the Dataverse collection are discoverable by Google, UBC Library Summon, FRDR, DataCite, and much more. It is an open-source application to publish, share, reference, cite, extract and analyze research data.

How to deposit in UBC Dataverse Collection?

Looking for a cheat sheet? Check out our one-pager! Need help? Please reach out to for assistance with any of the deposit steps below.

How to deposit in UBC Dataverse Collection?

The following step-by-step instructions will allow you to practice depositing data in a Demo UBC Dataverse instance. To deposit your actual datasets, visit

Practice Dataset


UBC Farm Monthly Bird Surveys


Nature Vancouver


Nature Vancouver, a not-for-profit charitable society based in Vancouver, BC, has conducted monthly bird surveys at UBC Farm since March 2007, in part to record the seasonal bird species over the year in nine different habitat areas of the Farm. Surveys occur on the third Sunday of the month starting at 8am (March to September) or 9am (October to February) and typically last two to three hours. Bird occurrences are recorded by genus and species, or when identification is not clear, then simply to genus. The nine stations of the farm include the market garden fields, the herb and flower gardens, the biodiversity hedgerows, and the forested portion of the farm.

Click to Download the Files

1  Create Account

  1. Go to the Borealis Demo > Login (at top right)
  2. Locate UBC and use your CWL to create an account. You will be redirected to the UBC Dataverse Collection.

2  Create Dataset

1. Choose the dataverse you want to deposit data into.

  • Choose "Research Commons Workshops Dataverse" for this exercise

  • You can find dataverses via:

2. Create a new dataset

  • Choose +Add Data > New Dataset (not New Dataverse) from the dropdown menu

  • Select a dataset template for the desired Creative Commons license (default license is CC0). You can learn more about data licensing in the Advanced Deposit workshop. Selecting a template will clear all other data fields, so do this first.

  • Fill in required metadata fields marked with a *.

If desired, fill in additional metadata fields. Recommended: Keywords, Related Publications. Many more metadata fields become available for editing after your dataset is saved.

  • Click Save Changes button. This saves the dataset in Draft form; it is not yet published nor publicly visible. You can save the dataset without uploading files.

3. Upload data files

The Files section is at the bottom of the page.

You can upload files now:

Max file size: 5Gb. If your files are too large, try putting them into a Zip file(s), or contact for help.

By default, the software will unzip your directory upon upload. If you want to preserve the directory structure, you can double-zip that directory before uploading.

Describe the files: Title, Description, Tags. Remember that people can’t use your data if they don’t know what it is!

3  Submit or Publish Dataset

Depending on your user permissions, you will have a button for either:

  • Submit for Review (the draft dataset is reviewed by a research data admins)
  • Publish (makes the dataset publicly available)

Once a dataset is published, Dataverse assigns a DOI to permanently identify the dataset.

We can also assign a Private URL to share with a journal and/or peer-reviewers without publishing the data.

4  Edit Dataset

  • You can edit elements of your dataset at any time using the Files, Metadata, and Terms (license and use permissions) tabs at the bottom of the page.

  • Files can be Restricted or Embargoed so they are available only on request. You can learn more about data access restrictions in the Advanced Deposit workshop.

  • Changes made to Files, Metadata, or Terms after publishing your dataset will be saved as a Draft version. Click Submit for Review or Publish again to make the changes go live; the new version will supersede the old.

Admin assistance is needed to un-publish a dataset, so be sure before Submitting or Publishing.

5  Cite Dataset

  • The data citation is generated by Borealis based on the required metadata you entered. It’s displayed in a blue box below the dataset title and version #.

  • Copy and paste, or use the Cite Dataset button to export the citation into EndNote, RIS, or Bibtex.


Now you know how to deposit your dataset in a Demo UBC Dataverse Collection! You are ready to go live at!

Want to learn more details about data deposits in the UBC Dataverse collection? You are qualified for the Advanced Deposit workshop now!

Need help?

Please reach out to for assistance with any of your research data questions.