Join a live training session for the N3C Data Enclave. Users of all types can learn how to navigate the N3C, utilize the Enclave and resources it provides, and learn how to better achieve their analytical goals. This orientation is split into 2 sessions – Session A and Session B. These orientations are ongoing and will alternate week by week. Session A is recommended before attending Session B

Session A is for those who want to learn about N3C, as well as how to engage with project teams and access the data.

Topics include:

• Provide a general overview of N3C, including goals, organization, and community resources such as Domain Teams and Data Liaisons.
• Introduces the 3 data tiers available and important considerations for research driven by the data harmonization process.
• Discusses resources for training and help, as well as the Data Use Request (DUR) process required for researcher access.

Note: This orientation is held alternating Tuesdays | 8-9:30am PT/11am-12:30pm ET

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The REDCap Open Training Session will review using surveys and provide ample time to answer any questions REDCap users might have.

Our current REDCap trainings are offered as webinar-only.

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About REDCap

REDCap is a secure web application that can be used to build and manage case report forms, surveys and other data capture mechanisms for clinical research. NC TraCS provides training classes to assist you in getting started with building REDCap data collection forms for your research projects.

Current REDCap training offerings include:

1. Forms (beginner)
2. Forms: Hands On (beginner)
3. Functions (advanced)
4. Open Session (Surveys and general questions)
5. Clinical Data Management (3-day)

For more information, please visit our REDCap webpage.

Join this month's COVID-19 journal club to discuss recent safety signals of the AstraZeneca and J&J Vaccines. This journal club will discuss Thrombotic Thrombocytopenia after ChAdOx1 nCov-19 Vaccination and Joint CDC and FDA Statement on Johnson & Johnson COVID-19 Vaccine.

This event will be led by Joyce Pak and Claire Su, both are PhD students in the Epidemiology Department.

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ACTIV-6: A Direct-to-Participant Platform Trial of Repurposed Drugs for COVID-19 in Non-hospitalized Patients

This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features Susanna Naggie, MD, MHS, of Duke Clinical Research Institute and Elizabeth Shenkman, PhD, of the University of Florida.

Presenters
Susanna Naggie, MD, MHS
Associate Professor of Medicine
Duke Clinical Research Institute

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Machine Learning Seminar Series: Recent Machine Learning Developments for Advancing Precision Medicine

In this session of the Machine Learning Seminar series, Michael Kosorok, PhD, will present on recent developments in Machine Learning and how these developments will impact and advance Precision Medicine. Precision medicine is "an emerging approach for disease treatment and prevention that takes into account individual variability in genes, environment, and lifestyle for each person." This approach will allow doctors and researchers to predict more accurately which treatment and prevention strategies for a particular disease will work in which groups of people.

Presenter
Michael Kosorok, PhD
W.R. Kenan, Jr. Distinguished Professor, Department of Biostatistics
Professor, Department of Statistics and Operations

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The Double Whammy: The Disproportionate Impact of Systemic Racism and COVID on Children of Color

Debra Furr-Holden, PhD, presents in this seminar of the "Interdisciplinary Conversations and Development of a Research to Practice and Policy Agenda” series. The series aims to increase awareness about the impact of disparities that contribute to children's ability to keep pace, which have broad dire effects on the neurodevelopmental trajectories of children growing in disadvantaged households and communities.

Presenter
Debra Furr-Holden, PhD
C.S. Mott Endowed Professor of Public Health
Director, Division of Public Health
Associate Dean for Public Health Integration
Director of the Flint Center for Health Equity Solutions
Michigan State University
College of Human Medicine

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