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Data Repository for U of M

The Data Repository for University of Minnesota (DRUM)

DRUM is a publicly available collection of digital research data generated by U of M researchers, students, and staff. Anyone can search and download the data housed in the repository, instantly or by request.

The Data Repository accepts submissions from University affiliates for digital archiving and access. Learn more about depositing to the Data Repository and other services to manage your data.

How to Upload

1. Prepare Data

Data should be free of identifying or sensitive information and include adequate documentation. Not sure? Contact us for help!

2. Upload

Have your files ready (up to 2GB each) and use the upload form to fill out metadata about your data.

3. Curatorial Review

Our data experts will consult with you to ensure that your data is in a format and structure that best facilitates long-term access, discovery, and reuse.

DRUM Policies


Flexible Access Options

Choose to make your data immediately accessible to everyone, or moderate access to your data upon request.

Meet Grant Requirements

Comply with federal mandates for data management planning (DMP) and sharing. Read more.

Persistent Access

A DOI for your data guarantees no more broken links when others include this persistent link to your data in scholarly articles as a bibliographic citation.

About DRUM

Our Services

Data Management Plan Assistance

We offer personalized assistance for drafting your next grant's Data Management Plan. Contact us for assistance during your planning process.

Metadata Consultation

We can help structure your data using disciplinary best practices to ensure the best organization of your data.

Training and Workshops

The library offers free online and drop-in workshops on data management best practices periodically throughout the year.

Services for Data

To include DRUM in your next Data Management Plan, contact us to get boilerplate text and more information on how the Data Repository can be incorporated into your next grant.

Popular Categories in the Data Repository
Recently Added To The Data Repository

Data from "Evaluation of Omission Testing as a Method for Identifying Important Odorants in a Mixture"

Weiss, Kirsten (2016-10-10)
The data is the raw data from the thesis titled "Evaluation of omission testing as a method for identifying important odorants in a mixture." The research was completed in two phases. In the first phase, intensity matching, ...

Thinking Inside the Box: Data from an Online Alternative Uses Task with Visual Manipulation of the Survey Response Box

Hofelich Mohr, Alicia; Sell, Andrew; Lindsay, Thomas (2016-09-29)
This study was designed to test whether responses to a divergent thinking task (the Alternative Uses Task, AUT; Guildford, 1967) could be influenced by visual design characteristics of the survey response box. We manipulated ...

Environmental Association Analyses Identify Candidates for Abiotic Stress Tolerance in Glycine soja, the Wild Progenitor of Cultivated Soybeans

Anderson, J; Kono, Thomas J Y; Stupar, Robert M; Kantar, Michael B; Morrell, Peter L (2016-09-26)
Understanding the genetics basis of adaption is a fundamental goal of biological research. The present study explores an ex situ conservation collection, the USDA germplasm collection, genotyped at 32,416 SNPs, to identify ...

Indoor Spatial Updating with Impaired Vision-Human Performance Data for 32 Normally Sighted Subjects, 16 Low Vision Subjects and 16 Blind Subjects

Legge, Gordon E; Granquist, Christina; Baek, Yihwa; Gage, Rachel (2016-09-21)
Spatial updating is the ability to keep track of position and orientation while moving through an environment. We asked how normally sighted and visually impaired subjects compare in spatial updating and in estimating room ...

Restoration of the 1936 Statewide Forest Survey of Minnesota

Flanary, Merril H; Anderson, Brian D; Wilson, David C; Ek, Alan R (2016-09-16)
Long-term forest plot datasets have proven invaluable for understanding the changing conditions and ecology across Minnesota’s 17.3 million acres of forestland. Data from past and present USDA Forest Service (USFS) Forest ...