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Best Practice Network: Data Management in Clinical and Translational Research - TBA Session is a Course

Best Practice Network: Data Management in Clinical and Translational Research - TBA Session

Started Dec 16, 2021

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Full course description

THIS LISTING IS THE TBA SESSION OF THIS CLASS. To be notified when a session of this class is scheduled, or if you cannot attend the already scheduled course, please enroll in this class.

Class Description: Translational research often requires the use of data of heterogeneous types, and with varying volumes and velocities. Researchers therefore require a strategy to manage the acquisition, harmonization, assimilation, integration, and storage of such data. In this class, we will discuss the informatics services and innovations developed by the Biomedical Informatics Core, Clinical and Translational Science Institute, University of Utah to support project operations and translational researchers with the generation and utilization of AI-ready datasets.

Class Objectives: At the conclusion of this class, you should be able to: 

  • Recognize the need for an informatics design in developing a translational research study’s data strategy.
  • Identify informatics tools and methods for implementing a translational research study’s data strategy.

REd Best Practice Networks are 1 hour in length with a 15-minute presentation and a 45-minute discussion that are led by subject matter experts. Participants are expected to come prepared with any questions that they may have and to engage in a conversation with the facilitator and their peers. This training will take approximately 1 hour (15-minute presentation and 45-minute Q&A).

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