Research data services

The University Libraries offer data management education, consultation, and services for individuals, lab groups, departments, and courses.

New NIH data management and sharing policy

The National Institutes of Health (NIH) has a new Data Management and Sharing (DMS) policy that will take effect Jan. 25, 2023. All research proposals generating scientific data will be required to have a data management and sharing plan.

This page describes how the Libraries' research data services can help.

Access the policy and NIH resources

Learn more about the new policy

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We can provide tailored data management curriculum and training for course-integration or lab/research groups on topics such as:

  • Data management basics (file/folder naming and organization, storage/back-up, documentation, archiving)
  • Qualitative data management
  • Data sharing (funder/journal mandates, repositories, planning ahead, ethics)
  • Managing sensitive and protected data (human participant, spatial data, protected species)
Request training

Virtual introduction to data management​

Managing your Research Data: A Tutorial Series (October 2020) 

Specialized data management topics:

Immersive education options

Twice annually, we offer an in-depth data management boot camp for graduate students. Learn more about our data management boot camps.

Each spring, we offer a half-day “data management in transition” workshop aimed at students about to matriculate. This workshop can be found with LATIS workshops when registration is open.

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Personalized consultations can be requested by individuals or lab/research groups on topics such as:

  • Data management plans (DMPs), 
  • Data sharing (consent form language, repository selection, documentation guidance, IRB protocols), and
  • Data management for specific projects (e.g., file naming and folder organization for a research group).

Request a consultation

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Data Repository for the University of Minnesota (DRUM)

DRUM is an institutional repository for University of Minnesota researchers, students, and staff to share data, with 10+ discipline-specific curators who ensure your work is findable, accessible, interoperable, and reusable.

Learn more about DRUM.

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Data management plans (DMPs)

Data management plans (DMPs) are a blueprint for how to manage data throughout their life-cycle. In addition, many funders require a DMP as part of the grant application.

We can help you create a DMP and provide feedback on your draft in a timely way to meet grant deadlines.

Get started with a template

If you don't already have a draft data management plan, then start one now.

  1. Make a copy of our U of M DMP Template (Google Doc) or log in with your U of M ID to the DMPTool to draft a new plan to manage your data.
  2. Review your funder requirements for data management plans.
  3. Explore example data management plans from University of Minnesota researchers
  4. Refer to our Data Management Plan checklist

Get feedback

Send us a copy of your DMP. We will review your plan within two business days and suggest things to consider or recommend using available tools and resources found across campus. Email your draft plan in MS Word doc, or send a Google doc link, to

Helpful tip: Include a link to your funder/proposal that you are applying to so that we ensure any specific data sharing requirements are met.

Boilerplate language for using DRUM in your grant

The Data Repository for the University of Minnesota (DRUM) is the university’s open access data repository for data sharing that enables long-term access and preservation. If appropriate for your data, use this boilerplate language in your DMP to demonstrate your institutionally-backed strategy for data sharing and preservation:

The data will be shared via the Data Repository for the University of Minnesota (DRUM), an open access, publicly-accessible, institutional repository. DRUM has been certified since 2017 by CoreTrustSeal, an international community-based organization that recognizes sustainable and trustworthy repositories. Curators review submissions and work with data authors to comply with data sharing requirements in ways that make data findable, accessible, interoperable, and reusable (FAIR) - including, but not limited to, file transformation and metadata augmentation. DRUM commits to 10 years of long-term preservation using services such as file migration (limited format types), off-site backup, bit-level checksums, and Digital Object Identifiers (DOI) for archival citations. The DOI exposes data to online discovery tools like Google Scholar and Web of Science Data Citation Index.

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Find and access data

The Libraries subscribes to many data archives and resources to find and access essential data for your research. These registries and guides also aggregate freely available data resources for the discovery of data and statistics.

Specific data repositories

  • Data Repository for the University of Minnesota (DRUM) for the University of Minnesota, an open access repository for data authored by U of M researchers
  • ICPSR - data repository hosted by the University of Michigan related to social science data, both publicly and privately collected and published. See our guide for depositors.
  • IPUMS at the Institute for Social Research & Data Innovation - research center through the University of Minnesota with a focus on current and historical demographic data related to geography, economy, migration, health, education, and other subject areas
  • Dryad - this generalist data repository accepts submissions from any discipline. The University Libraries is an institutional member of Dryad, which means that deposit and curation costs are covered for U of M affiliates. 
  • Mukurtu (MOOK-oo-too) - empowers Indigenous communities to manage, share, narrate, and exchange their digital heritage in culturally relevant and ethically-minded ways. See also the CARE principles.

Data registries and guides

  • Libraries search for purchased or licensed data. (sort Material Type = “Statistical Dataset” or “Research Dataset”)
  • Government publications data and statistics for government information and data across disciplines and geographic areas
  • Business and economics statistics for data and statistics on company financial information, industry performance, economic data, and related topics
  • Spatial data for spatial and GIS data across disciplines, geographic units and areas, and sources
  • Health sciences resources for sources of health data and statistics
  • - registry of open research data repositories across disciplines
  • - open government data portal with access to datasets in science, agriculture, education, health, business, and many more
  • - search millions of dataset from repositories around the world in this international registry

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Good practices

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