To obtain data for your IRB-approved research project, or support around biostatistics or REDCap, please submit a request using the information and form linked below. If you do not have funding, please apply for just-in-time funding through the Institute of Clinical and Translational Sciences.
Before completing the intake form to request services from the Institute for Informatics (I2) or Divison of Biostatistics, please have the following information ready. You can complete the form if some information is still pending, just indicate that status in your submission.
- Project scope
- Funding source
- IRB, if applicable
- A person we can contact for questions
Before entering the form, please read below about the various data and services available.
Step 1: Establish Preliminary Information
Determine your research goals, required data, ideal deadlines, and which services you are requesting. Also, keep in mind if you want to submit your service request before or after IRB approval. If before, we will assist in submitting a project application to an IRB.
Step 2: Submit project intake form
To request our services, fill out the Project Intake Form. This form consists of a series of questions about your preliminary information acquired in Step 1.
Step 3: Application review
A representative will review your Project Intake Form and respond within 48-72 business hours. The Principal Investigator or designee may be asked further questions or given recommendations to ensure the success and efficiency of the research.
Step 4: Statement of Work (SOW) creation (informatics services only)
A representative will contact you when our proposal is prepared. We will set up a call prior to the proposal meeting to finalize the goals and suggested datasets. We will also create an SOW (statement of work) to provide an estimated range of hours we will need to complete your project. Once you have a chance to review our proposal, we will have another call if anything needs to be revised.
Step 5: Project begins once SOW is in place (informatics services only)
Depending on the status and complexity of your project, you may need to complete several steps before we can begin your project. Some of these steps may include you submitting applications to retrieve any missing data and applying for IRB approval and/or funding.
Data and services available
Clinical research data
I2’s ad-hoc chart extraction services provide data for use in patient cohort identification, or for prospective/retrospective study data capture.
Clinical research data warehouse
I2 data brokers can also fulfill requests for large amounts of data, data registries or data from third-party data vendors.
WashU’s Center for Administrative Data Research (CADR) provides data and services to Washington University faculty, staff, and students. Non-WashU members of the Institute of Clinical and Translational Sciences who are interested in working with administrative data are encouraged to collaborate with WashU investigators.
Data and services provided by CADR include:
- Housing and maintaining a repository of administrative data and information about the data sources
- Training investigators on the ethical and secure use of administrative data
- Providing leadership on study design and analysis of administrative data
- Facilitating collaboration among interdisciplinary investigators
- Advancing the effective use of data to inform researchers, policymakers and the public about health and healthcare
Work with I2 to create a data registry where you can collect a standard set of variables for large patient cohorts.
Need to know how many people meet your research criteria? Feasibility counts can help you answer specific questions for your research planning (i.e. how many diabetics are on a particular medication who are also over 18 years of age).
The Division of Biostatistics provides biostatistical consultation in a wide range of areas including:
- Statistical design of experiments and clinical trials
- Protocol development
- Database management
- Analysis of data and interpretation of results
Biostatisticians can aid in preparing grant applications, including discussions and written sections on study design, sample size calculations, randomization schemes, and computer resources.
Computing services through the WUBIOS Computing Facility provide support for the storage and analysis of data. In this capacity, the facility supports both the Division and its primary collaborators. Services provided by the WUBIOS Computing Facility include access to the facility to store, manage and analyze data.
Online surveys and databases via REDCap
REDCap is a secure web application for building and managing online surveys and databases that can be used to collect any type of research data. Consultants are available for REDCap build or assistance. REDCap training is offered by trained scientists at Becker Medical Library.
Smart on FHIR via REDCap
This feature allows structured clinical data to be pulled in real-time from the EHR to REDCap. In order to use the Clinical Data Pull functionality, a REDCap project must first have the Clinical Data Pull module enabled on the Project Setup page. Only a REDCap administrator may enable the module. Once enabled, any project user with CDP Mapping privileges will be able to navigate to the CDP Mapping page in the project to begin to map EHR data fields to fields in the REDCap project.
EPIC, third party vendor collaboration
Some projects may require collaboration with the Epic1 research team or other third party vendors. Examples include data from smartforms that are built in Epic, or building a link and putting it in Epic to route them to an appropriate website.
Synthetic data via MDClone
MDClone is a free, secure, self-service platform for building queries and downloading computationally derived (“synthetic”) data from the institute’s research data core. Since the data do not contain protected health information, their use is not classified as human subject research. MDClone training is offered by trained scientists at Becker Medical Library.
TriNetX is a federated research data network used to assess recruitment potential at a clinical trial site. The web-based application supports local research study cohort estimation as well as enables collaboration with peer institutions for clinical trials and multi-site studies.