This online training will provide an introduction to qualitative data analysis, focusing on content/thematic analysis. The session will cover the basics of qualitative data analysis and steps in the analysis process, including: transcribing, memoing, codebook development and coding, exploring content areas or themes, and interpreting and communicating findings. Participants will have the opportunity to practice developing and applying codes.

Please note: We will not be demonstrating how to use qualitative data analysis software during this session.

Presenters:

MaryBeth Grewe, MPH
Program Manager, Qualitative and Engaged Research
NC TraCS Institute

Simone Frank, MPH
Project Manager, Community Engagement in Research
NC TraCS Institute

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NC TraCS Data Science Seminar Series: ChatGPT as your research assistant

Please join the NC TraCS Institute as members of the TraCS Data Science Lab discuss ways that common generative AI models have been particularly helpful in their research. This seminar will focus on using accessible, off-the-shelf models in ways that are applicable to diverse research domains.

Seminars in the NC TraCS Data Science Seminar Series will cover a range of topics related to health care data science, clinical data, data engineering, and working in these areas at UNC-Chapel Hill. These hybrid seminars will be held on the third Tuesday of each month from 12:30-1:30 p.m. in the NC TraCS suite on the 2nd floor of Brinkhous-Bullitt or via Zoom.

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UNC NRP April 2024 Education Session: Clinical Research Billing Compliance and the Billing Coverage Analysis: The 5 W's (and 1 H)

Please join the UNC Network for Research Professionals and the Clinical Research Compliance team from the Office of the Vice Chancellor for Research for a presentation on the 5 W's and 1 H of Clinical Research Billing Compliance and the Billing Coverage Analysis (BCA).

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The Yale Open Data Access (YODA) Project: 10 Years of Clinical Trial Data Sharing

This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:

Joseph S. Ross, MD, MHS
Professor of Medicine and Public Health
Yale University

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Detecting Change in Within-Person Processes

Behavioral researchers are often interested in change within-persons over time that may occur due to environmental phenomenon or during the course of an intervention. In some circumstances there is a question of both whether and when change occurs. This course introduces applied approaches for determining whether and when change occurs using individual, person-specific data. The course will be taught primarily in R with an emphasis on visualizing differences using network models.

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