You are ready to deposit data if:

  • your data is in a final state and not expected to undergo revisions.
  • you have removed any private, confidential, or other legally protected information from your data.
  • you are a faculty member, staff member, or graduate student at the University of Illinois at Urbana-Champaign.
  • you have permission to publicly distribute data from all creator(s) and/or copyright owner(s).

Published data:

  • is open to anyone in the world.
  • receives a stable identifier (DOI) for easy reference and citation.
  • is readily available for anyone to access for a minimum of 5 years.
  • is located in a stable environment that complies with many funder and publisher requirements.

Statement of Commitment

The Illinois Data Bank's mission is to centralize, preserve, and provide persistent and reliable access to the research data created by affiliates of the University of Illinois at Urbana-Champaign, such as its faculty, academic staff, and graduate students. The Research Data Service at the University Library maintains and operates the Illinois Data Bank on behalf of the University of Illinois at Urbana-Champaign campus. The University Library has a long history of successfully supporting the preservation of and access to Illinois research outputs. The Illinois Data Bank operates within a robust policy framework that fully describes the University's commitment to providing persistent and reliable access to research data.

Researcher Spotlight

featured researcher photo

Tandy Warnow

Tandy is the Founder Professor of Engineering. Her primary appointment is in Computer Science, but she is a member of many other departments and programs at the U of I. She received the National Science Foundation Young Investigator Award in 1994, the David and Lucile Packard Foundation Award in Science and Engineering in 1996, a Radcliffe Institute Fellowship in 2006, and a Guggenheim Foundation Fellowship for 2011. Her research areas are: bioinformatics and computational biology; machine learning and statistical inference; and discrete algorithms on big data.
What do you see as the primary benefit to archiving your data in a repository?
We do a huge amount of simulation and testing to understand methods and how methods work on datasets. I’ve never had to store this amount of data. Having data-sharing resources available is an unbelievably helpful and necessary thing for us in terms of transparency and the data being usable in the research community.

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