Data Access and Informatics Consulting

Researchers have unprecedented access to patient data, thanks to a clinical data repository that houses the electronic medical records of more than 2 million patients. 

This data can be used to support your research including feasibility assessments, recruitment of participants, pilot studies, and retrospective analyses. 

Data is simple to request, free to researchers at the University of Minnesota, Fairview, and University of Minnesota Physicians, and is provided through the Informatics Consulting Service (ICS).

What data is available?

Investigators can request data from electronic health records (EHRs) as well as Minnesota death certificate records.

Electronic health records

Electronic health records provide data about patients (e.g., demographics, medical histories) as well as their hospital and clinic visits (e.g., diagnoses, procedures, medications, lab tests, location of the visit, specialty of the provider). The data comes from our clinical data repository, which houses the EHRs of more than 2 million patients seen at 8 hospitals and more than 40 clinics.Patient encounters chart

Minnesota death certificate records

Minnesota death certificate records include data from an individual’s death record, such as their name, gender, birth date, and date of death, as well as data about the circumstances of their death, such as the cause, site, and any external causes revealed by an autopsy. Our death records database houses complete records issued from 2011 to present (for deaths as recent as two months ago) for deceased individuals who were born in Minnesota, have died in Minnesota, or have ever had a permanent address in the state.

More about the data request process

Research activities supported by clinical data

Research activities supported by clinical data

The clinical data repository supports research in the following ways:

  • Study feasibility
  • Recruitment
  • Retrospective and observational studies
  • Operational or quality improvement projects (non-research)
  • Data feeds
  • Education and fundraising

Who can request clinical data?

Who can request clinical data?

User authorization

Each partner manages its own process for authorizing its users, but the requirements generally include that you are an employee in good standing, have completed HIPAA training, and have signed an attestation form in which you agree to terms for use of the data (e.g. you will only use the data for the purposes specified in the original request form). If you are affiliated with more than one of the partners, your authorization will be via the affiliation most relevant to your data request. It is not your responsibility to ensure your authorization before submitting a request; we will verify your authorization once your request has been submitted.

External collaborators

External collaborators cannot request data themselves, but qualified University-affiliated individuals or departments can be granted access in some cases. To do so, a University member must secure a sponsored guest x500 account for their external collaborator. This is a free service that can be requested via the Office of Information Technology

More information for students and employees of UMN

Addressing the following requirements as soon as possible will allow us to deliver data to you more quickly:

HIPAA training
  • The University's HIPAA Privacy and Data Security Training program consists of four separate online courses that are part of the "Public Jobs: Private Data" training program.
  • If you've completed the training, you do not need to re-take it. A record of all training completed while at the University is available online through the Training History link at the MyU website. You also can contact the Health Information Privacy and Security Office at
Attestation form
  • You must provide attestation to indicate that you comply with the terms of AHC Information Exchange (IE) data use. To attest, complete this short online form, which will require that you sign in with your university ID (x500). Your attestation will be valid for one year. 

Do I need IRB approval?

Do I need IRB approval?


IRB review and approval is required for research falling under the federal definition of human subjects research. IRB approval is required for data requests that require identifiable private information and involve a systematic investigation designed to contribute to generalizable knowledge. Visit the U of M's IRB website for more guidance (e.g., Does My Research Need IRB Review?) and up-to-date forms, including the Change in Protocol form and Change in Personnel forms.

Activities preparatory to research

Data requests to determine study feasibility or plans for participant recruitment do NOT require IRB review. Participant recruitment itself, however, does need IRB approval. For more information on the disclosure of PHI for activities preparatory to research, see the related Administrative Policy

Non-research activities

If you need data in support of clinical operations or quality improvements, you do not need IRB approval however, approval by a Data Steward is required. 

How do I request clinical data?

How do I request clinical data?

Step 1: Prepare your data request

The more preparation you do, the better we can help you with your data request.

Before requesting data: 

  • Create a detailed description of the patients who are relevant to your research question, including dates of service, demographics, diagnoses, procedures, treatments, and lab tests
  • Determine the exact ICD9, ICD10 and CPT codes for your query, whenever possible
Step 2: Complete the data request form

When filling out the data request form, answer the fields as completely as possible.

Note that you can save the information you have entered and return to it later. You will be given a return code upon leaving the page. When you're ready to complete your request, visit the form and click on "Returning?" in the upper right corner of the page.

What should I expect after I've submitted my request?

What should I expect after I've submitted my request?

Clinical data requests can take anywhere from a couple weeks to several months to fulfill, depending on the complexity of the request. We'll work closely with you as we take the following steps to process your request:

Step 1: Initial review 

We start by evaluating requests to make sure your request is clear, complete, and feasible for us to fulfill. We'll also verify that the primary requester or the PI is an authorized AHC Information Exchange (IE) user (see "Who Can Request Clinical Data" section below for more information).

Step 2: Partner review 

If your request is for operational or quality improvement purposes, it must be approved by our clinical partner's Data Steward. They will make sure the request complies with their organization's regulatory, ethical, and business guidelines. We'll notify you when your request has been approved or denied, and send you a final version of your completed data request form.

Step 3: Fulfillment

At this point, we will begin fulfilling your data request. Once you and your colleagues are verified as authorized users, IRB approval is confirmed, and the data is ready, we will email you with instructions for accessing your data.

Step 4: Working with your data

After your request is fulfilled, ICS consultants are available to help you better understand and work with your data. This may involve assistance with data transformation and manipulation (e.g., filtering, removing outliers, joining tables, and deriving new variables), data visualization, generating summary statistics, and identifying caveats in the clinical data.

How will I access and analyze my data?

How will I access and analyze my data?

Accessing your data

Once your data request has been fulfilled, you'll be able to view and analyze your datasets through a secure desktop environment called the "Data Shelter." Instructions for logging into the Data Shelter. This work environment protects private patient data, provides data backup, includes free, powerful analysis tools, and enables collaboration with colleagues. In certain rare cases, data may leave the Data Shelter subject to approval per the following policies: Extraction of De-Identified Data Policy and Extraction of Identified Data Policy

Accessing Epic within the Data Shelter

For security purposes, web traffic is disabled within the Data Shelter. However, there are approved sites that you can access with the Firefox browser. For example, you can access the Fairview Secure Gateway, which will allow you to access Epic and other Fairview systems from within the shelter. If you have a site you would like added, please contact us at

Analyzing data

Any analysis you perform on your secure datasets must be done using the software provided in the shelter. The following software is available for use, free of charge, within the Data Shelter:

  • Epi Info
  • JMP Pro
  • MatLab
  • Microsoft Excel
  • Microsoft Access
  • MS SQL Server
  • SAS
  • SQL Developer
  • Stata
  • R, R Studio
  • Weka
  • NLP-PIER: An Information Extraction (IE) platform that provides direct access to patient data stored in free text of clinical notes. The underlying framework of PIER uses Elasticsearch technology and features the University of Minnesota Clinical NLP/IE program's open source Natural Language Processing (NLP) application, BioMedICUS (BioMedical Information Collection and Understanding System). 

If the tool you need is absent, contact the Informatics Consulting Service at and we will do our best to accommodate your need. 

How can I use my data to recruit participants?

How can I use my data to recruit participants?

If you would like to send recruitment letters to the patients you have identified, the Informatics Consulting Service will work with you and the office of Fairview Research Administration (FRA) to coordinate such a mailing.

  • When you submit your data request to the ICS, let us know that you plan to send out recruitment letters via Fairview Research Administration.
  • Fairview will send out recruitment letters on your behalf provided that your study will occur at Fairview or the University of Minnesota and that you have UMN IRB approval for your study. Read the Fairview Research Recruitment Mailing Guidelines.
  • Contact FRA at as early as possible to alert them to your plans for a recruitment mailing.
  • If recruitment letters are not appropriate for your study populations or do not suit the recruitment plan you have designed, you may want to work with CTSI's Recruitment Center to discuss alternate options for using clinical data to facilitate recruitment (

Get informatics support

Get informatics support

In addition to providing data, experts from the Informatics Consulting Service also can help you work with that data. Contact us at if you want to:

  • Get help managing the data you received through our data request process.
  • Get support for the informatics aspects of your grant applications.
  • Learn about informatics experts beyond CTSI.

Consultations are usually available at no charge to researchers at the University of Minnesota, Fairview, and University of Minnesota Physicians.

Get help

Get help

Learn more about how you can use data for your research and get help with your request by scheduling a consultation with the Informatics Consulting Service at

Forgot your password?

Password assistance for University of Minnesota students and staff, visit IT@UMN

  • i2b2 authentication uses the University of Minnesota x500 username and password.
  • Access the Data Shelter using your AD username and password (the same you would use to login to an AHC computer). 

Non-University authorized users are provided access to the Data Shelter via the Informatics Consulting Service. For assistance, contact us at

Instructions for logging into the Data Shelter can be found here. If you run into trouble logging into the Data Shelter or finding your data once you've logged in, please let us know by submitting a help request at

Request a consultation

Consult with an expert

Informatics Research Support
Collaborative Science
Data Access and Management

Schedule an appointment:     
Walk-ins welcome: Phillips-Wangensteen Building (PWB) 8

Gretchen Sieger
Manager, Lead Data Analyst

Bryan Akkerman, MS
Informatics Consultant 

Ashley Andrews, MPH
Informatics Consultant

Sonya Grillo
Informatics Consultant

Melissa Hansen
Research Navigator
612-625-CTSI (2874)

Ahmad AbuSalah
Director of Clinical Informatics Consulting Services, Research Assistant Professor, Institute of Health Informatics