Intro to REDCap
REDCap is a secure, HIPAA compliant web-based application that supports efficient data capture for research studies. REDCap features include easy-to-create web-based case report forms, real-time data entry validation, audit trails, and clinical study event scheduling and tracking (e.g. blood-draws and participant visits) via a user-friendly interface. Users can be assigned different levels of access to reflect their role in the research team. REDCap also supports the creation and management of surveys, and provides data export options for a variety of statistical software programs. Use of REDCap requires an NYULMC KID and password.
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.
- Wednesday, July 19, 2017
- 10:00am - 11:30am
- Lapidus Library Classroom
- Data Day to Day