Research Data Storage Finder

Evaluate options for data storage at the University


Describe your research data

Answer these questions to help identify data storage services that are suitable for your needs. Checking these boxes will change the list of available services.
If you are uncertain how to answer, leave the question blank to maximize your resulting options.

 

  1. Data Classification Level

    U of T classifies data into four levels of risk—1, 2, 3, or 4—based on the potential for harm if data is leaked or obtained by unauthorized individuals. Data Classification definitions and examples are available here: https://isea.utoronto.ca/policies-procedures/standards/data-classification/
  2. Different data storage providers are targeted at different parts of the research process. We have split providers into 3 categories: Active Research: These data storage platforms are ideal for storing and organizing data that is currently being worked on, modified, and analyzed. Backup: These data storage providers provide backups/snapshots or versioning copies of data. They are ideal for data, whether that is a copy of the raw data, the production data, or the final completed project and data. Archival and Open data sharing: these providers are ideally suited to long term storage of data from completed projects, and often have special functionality for open sharing of data for re-use by other researchers.
  3. Collaboration Level

    Different platforms offer different capabilities for collaboration and sharing of files. Others within U of T: These platforms can provide access to others at U of T, whether through UTORID or other systems. Named collaborators (internal or external): These platforms allow for sharing of files with specific named collaborators, whether internal or external to U of T. Any individual with a shared link: These platforms allow for sharing of files via a shared link that can be public or password protected. Public: These platforms allow for open public sharing of data files.
  4. Some platforms are not suited for large amounts of data, while others can provide more storage but are more complex to access. Keep in mind that your data storage requirements will only grow over time.

Select data storage services you would like to compare.


We welcome feedback on this tool.

Original creators of Data Storage Finder: Cornell University Research Data Management Service Group and Cornell Information Technologies Custom Development Group (2018). Finder Module. Drupal 8. https://github.com/CU-CommunityApps/CD-finder. Adaptation by University of Toronto, on WordPress 5.8.

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