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 B is for analysts, statisticians, data scientists, or anyone who wants to gain a broader understanding of the tools needed to work with the data.

Topics include:

• Focus on technical aspects of working with data in the secure N3C Enclave, including use of OMOP concept sets and N3C-specific tooling, such as the Concept Set Browser.
• Introduce commonly used analysis tools, such as Contour and Code Workbooks and corresponding workflows for simple analyses.
• Introduce the Enclave Knowledge Store, a mechanism for sharing and using community-developed code and data across projects.

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

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Please join the Office of Clinical Trials for a virtual town hall to learn about several initiatives underway to improve clinical research at UNC. Topics to be discussed will include: processes to reduce administrative burden, changes to the research fee schedule, remote consent options, subject injury language, and an update on OnCore Enterprise.

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The REDCap Hands-On Form Building Training Session will teach users to build forms using the online designer or data dictionary. This session will be a click along hands-on/lecture/demo.

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.

Machine Learning Seminar Series: Use Cases for Machine Learning – From predicting out-of-hospital deaths in claims data to identifying novel side effects of drugs using social media

In this session of the Machine Learning Seminar series, Nabarun Dasgupta, MPH, PhD, will provide an overview of Machine Learning vs Natural Language Processing. Dasgupta will discuss three examples of how he has utilized Machine Learning in research – from using an algorithm to predict out-of-hospital deaths in claims data to using Machine Learning to conduct systematic review searches.

Presenter
Nabarun Dasgupta, MPH, PhD
Innovation Fellow, Gillings School of Global Public Health
Senior Scientist, Injury Prevention Research Center
UNC-Chapel Hill

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