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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

Twin Cities Historical Surface Waters Based on Original Public Land Survey Maps, 1848 - 1858

Graves, Richard; Strong, Richard; Mattke, Ryan; Kne, Len; Shepard, Coleman; Kernik, Melinda (2017-09-13)
These shapefiles of lakes, streams, wetlands, river bottoms, and the Mississippi River represent the hydrological landscape of Minneapolis and St. Paul as recorded in the original public land survey conducted between 1848 ...

Characterization of streams and rivers in the Minnesota River Basin Critical Observatory: water chemistry and biological field collections, 2013-2016

Dolph, Christine, L.; Hansen, Amy, T.; Kemmitt, Katie, L.; Janke, Ben; Rorer, Michelle; Winikoff, Sarah; Baker, Anna; Boardman, Evelyn; Finlay, Jacques, C. (2017-09-06)
This dataset was collected to inform the Water, Sustainability and Climate Minnesota River Basin Observatory, and was supported by the National Science Foundation under Grant No. 1209402 Water, Sustainability and Climate ...

MNREAD Baseline Data for Normal Vision Across the Lifespan

Calabrèse, Aurélie; Cheong, Allen M. Y.; Cheung, Sing-Hang; He, Yingchen; Kwon, MiYoung; Mansfield, J. Stephen; Subramanian, Ahalya; Yu, Deyue; Legge, Gordon E. (2017-08-30)
The continuous-text reading-acuity test MNREAD is designed to measure the reading performance of people with normal and low vision. This test is used to estimate maximum reading speed (MRS), critical print size (CPS), ...

Photochemical Data of Stormflow Samples Collected Near Minneapolis and St. Paul, Minnesota from 2014-September to 2015-October

McCabe, Andrew J; Arnold, William A (2017-08-24)
Stormflow samples were collected from 31 sites near Minneapolis and St. Paul, Minnesota between 2014-September and 2015-October. Optical and photochemical parameters of the samples were measured under controlled laboratory ...

Silver: an Attribute Grammar System

Kaminski, Ted; Van Wyk, Eric (2017-08-24)
Silver is an attribute grammar system which supports higher-order, reference, and collection attributes. It also supports forwarding and provides a modular well-definedness analysis to ensure composability of language extensions.