Available Until 8/7/2023

Fundamentals of Health Sciences Research Data Management

For more information or to schedule this course, please contact the NNLM Training Office at nto@utah.edu . 

This class is designed to provide information professionals, working in health sciences, with an introduction to research data management. The primary goal of this course is to improve your knowledge and skills in research data management and enable you to add or enhance research data management training and services at your institution.

This 8-week course will have participants read foundational texts in research data management, engage in discussions with other participants, complete assignments designed to improve knowledge and skills, and develop a final project of teaching a concept from the course or delivering a presentation on library roles in research data management.

Participants will work with course facilitators and community experts to complete course assignments and gain an understanding of the role of research data management in libraries.

When this class is offered, participation will be capped at 60, so if you are interested in applying to register for this course, please commit to spending 3 total hours per week engaging with the course readings and assignments.

Resource URLhttps://nnlm.gov/training/class-catalog/fundamentals-health-sciences-research-data-management

Approved as a core course for Level I of the Data Services Specialization.

Learning Objectives

Upon completion of the Fundamentals of Health Sciences Research Data Management, learners will be able to do the following:

  1. Explain different types (e.g., data curation, data preservation) and levels (e.g., linking to resources, consulting, and collaborative) of research data management services
  2. Describe tools, resources, and workflows to facilitate reproducibility and replicability
  3. Advise researchers in best practices for data management planning
  4. Explain how to effectively document and describe research data
  5. Advise how to safely store, protect, and share medical research data

Agenda

Course Opens / Pre-Work Module: Defining Data and Research Data Management

Module 1: Research Data Lifecycle, Open Science, and Reproducibility

Module 2: Policy and Data Management Plans

Module 3: Storage, Security, and Collaboration During Research

Module 4: Clinical Research Data Management

Module 5: Data Description and Documentation

Module 6: Metadata, Curation, and Repositories Post-Research

Catch-Up Week

Final Projects / Capstone Due

MLE CE Credits: 32