Illinois Data Bank

The
Illinois Data Bank
is a public access repository for publishing research data from the University of Illinois Urbana-Champaign.
Learn how we meet trustworthy repository standards

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 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.

Researcher Spotlight

Lindsay Clark I am a plant geneticist with particular interests in polyploidy, population genetics, and the development of novel algorithms and software for the analysis of molecular markers. I am currently a research specialist in the lab of Prof. Erik Sacks in the Department of Crop Sciences at the University of Illinois, Urbana-Champaign. I study genetic and phenotypic diversity of Miscanthus, a perennial grass used for bioenergy and biomass, and have made discoveries about its evolutionary history in the wild and in cultivation.

How did you decide that the Data Bank was the best place to put the data?

The Data Bank is free, and it allows any type of data, which is great. [...] We liked that we could put essentially any information in there that we wanted, including the original handwritten field notes. Having that in the same repository as the genetic data, the phenotypes, the R scripts for data analysis - the paper explains everything from field observations to how to sequence the DNA. We have a broad range of data types all in one repository, which is great. I also really like the ability to link to other datasets; the raw DNA sequence data is many gigabytes and that's stored in NCBI, but we can put a link from this dataset back to NCBI as well.

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