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Advanced REDCap: Survey Design and Longitudinal Studies In-Person
For individuals who have completed our Intro to REDCap class or have familiarity with the electronic data capture tool, this workshop will offer hands-on experience working with more advanced features of the application. We will discuss creating and using longitudinal forms and creating surveys to email to study participants. Use of REDCap requires an NYULMC KID and password.
Presented by:
Kevin Read, MLIS, MAS
Fred LaPolla, MLS
About the Presenters:
Kevin Read serves on the Data Services Team, and is the dedicated librarian for Emergency Medicine and the Skirball Institute of Biomolecular Medicine. Kevin provides training and research support for faculty, residents and staff on topics including: research data management, REDCap, systematic reviews, grant support and citation management. His areas of expertise include research data management, data sharing, literature searching, metadata, and education.
Kevin is also the lead of the NYU Data Catalog project that makes datasets created by, and of interest to NYU researchers more discoverable.
Kevin holds a Master’s of Library and Information Sciences (MLIS) and a Master’s of Archival Science (MAS) from the University of British Columbia in Vancouver, Canada.
Fred LaPolla is a member of the Health Sciences Library’s Data Services team and the liaison to the Radiology Department. His main area of work is in data visualization services and he is available for classes, workshops, and one-on-one
consults on design best practices. He is also interested in publishing metrics, as well as assisting members of the NYULMC community with literature searching and citation management.
Fred LaPolla earned his B.A. in Chinese language and literature from George Washington University and his M.L.S. from CUNY Queens College.
- Date:
- Wednesday, October 18, 2017 Show more dates
- Time:
- 10:00am - 11:30am
- Time Zone:
- Eastern Time - US & Canada (change)
- Location:
- Lapidus Library Classroom
- Categories:
- Data Day to Day
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