Program Session

4 - REDCap and Trade: Negotiating a Library Role in Clinical Research Data Management

Tuesday, May 30
3:50 PM - 4:05 PM
Room: 604

Objectives: REDCap, an electronic data capture tool, supports good data management but many researchers lack familiarity with the tool. A service gap was identified in an academic medical center where a REDCap administrator provides technical support and a clinical data management unit provides study design support. Librarians with REDCap expertise sought to increase and improve usage through outreach, workshops, and consultations. 

Methods: Two librarians developed REDCap expertise by building forms for a clinical quality improvement project and a clinical research study supported by an informationist supplement from the National Library of Medicine. In consultation with a REDCap administrator and the director of the clinical data management unit, a role for the library was established in providing REDCap training and consultations. Liaison relationships led to consultations, with an increase in requests following a REDCap course offered by the library to the medical center community. Data was collected from the REDCap course assessing the level and quality of material, effectiveness of presenters, knowledge gained, and interest in other classes. Consultation data was collected from each appointment, outlining the researchers’ department, the nature of the consult, referrals to other departments, and how researchers’ learned about the library offering this service. 

To date, the library has conducted 6 workshops, and 28 consultations that were held in-person or via email. The majority of interactions included basic training on the REDCap database for faculty, administrators and students across several departments.  Radiology, College of Nursing, Emergency Medicine, and Internal Medicine were the most frequent audiences. Users heard about the library offering REDCap services most often through previous encounters with our Data Services Team, referrals from liaison librarians, and a regular data training series offered by the library three times a year.  In turn, the library referred users to our clinical data management unit 7 times and the REDCap administrator 9 times.

Filling a gap by offering REDCap training has provided the library’s Data Services Team with a new opportunity to add to their existing suite of services. Offering REDCap training in collaboration with our clinical data management unit and REDCap administrator has created a more seamless workflow for providing clinical data management support, and has increased the level of communication the library engages in with these departments.

Keywords: REDCap
Clinical Data Management
Research Data Management
Data Services


Program Session

Kevin B. Read

Knowledge Management Librarian
NYU Health Sciences Library
New York, NY

Kevin Read is Knowledge Management Librarian at the NYU Health Sciences Library. He is a member of the Data Services Team, and 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 data discovery, metadata, research data management, data sharing, literature searching, 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 participates in several NIH-wide initiatives including the NIH Big Data to Knowledge Indexing Working Group, and NIH BioCADDIE.


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Fred LaPolla

Knowledge Management Librarian
NYU Health Sciences Library
New York, New York

Fred LaPolla is a junior faculty member with NYU's Health Sciences Library Data Services team. He is interested in data visualization, bibliometrics, and research data management. Fred earned his MLS at Queens College, CUNY.


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4 - REDCap and Trade: Negotiating a Library Role in Clinical Research Data Management

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Send Email for REDCap and Trade: Negotiating a Library Role in Clinical Research Data Management