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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 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

Features

Flexible Access Options

Choose to make your data immediately accessible to everyone, or moderate access to your data for up to two years.

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

Flow and clay erosion data taken and processed at SAFL in a grid-turbulence tank Fall 2021-Spring 2022

San Juan, Jorge E.; Wei, William G.; Yang, Judy Q. (2022-05-23)
Here we present a data set containing raw imaging and processed data of clay erosion and near-bed turbulence. This data set supports our study of the impact of salinity and consolidation on the microstructure and erosion ...

Complete Data for: Laboratory evaluation of copper-based algaecides for control of the invasive macroalga starry stonewort (Nitellopsis obtusa)

Glisson, Wesley J; Contreras-Rangel, Rafael; Bishop, West M; Larkin, Daniel J (2022-05-23)
Nitellopsis obtusa ([Desvaux] J. Groves [1919]; Characeae), known as starry stonewort, is an invasive macroalga in Laurentian Great Lakes states and provinces in North America. Because of its potential negative impacts ...

Commonalities among dental patient-reported outcomes (dPROs) – a Delphi consensus study

Chanthavisouk, Phonsuda; John, Mike, T; Paulson, Danna; Pattanaik, Swaha (2022-05-23)
Improvement of patients’ oral health-related quality of life (OHRQoL) is the main goal of oral health care professionals. However, OHRQoL is not a homogenous construct and how to assess it is challenging because of the ...

Data from: First steps of developmental evolution across experimentally evolved multicellularity

Baselga Cervera, Beatriz; Gettle, Noah; Travisano, Michael (2022-05-19)

Updated Fortran program for modeling ULF waves in a three-dimensional magnetosphere

Lysak, Robert L (2022-05-19)
This is the update of a three-dimensional code in dipole geometry for modeling Ultra-Low-Frequency (ULF) waves. The previous version is at https://doi.org/10.13020/d1g7-c676. This code has been used in a study of so-called ...