Preparing Biomedical Information Professionals to Understand and Teach Research Data Management

Date

Thu Jun 8th 10:00am to 11:00am PDT

Presenter

Kevin Read, Alisa Surkis
NOTICE: 

Details on how to join Webinar:
*Must use Web and Audio*
Please include name and company when joining meeting.
Web: http://www.readytalk.com/ (Join meeting with Access Code 2201876)
Audio: 1-866-740-1260 (Access Code 2201876) (US)
Audio: 08004960576 (Access Code 2201876) (UK)
Click here to test your computer's compatibility before the meeting.

Abstract

As part of the NIH BD2K training initiative, two curricula were created to prepare medical librarians to understand and teach research data management to researchers. The first curricula is web-based and uses interactive educational technologies to provide librarians with a better understanding of research data management, as well as the practice and culture of biomedical research. A second curriculum was developed as a toolkit to be used by librarians for in-person teaching of researchers and consists of slides, scripts, evaluation tools, and instructions. Several modules in the toolkit allow for guided customization on topics where institution specific material is important (e.g., data storage). Evaluation of educational materials included assessments of knowledge gain, satisfaction, comfort level with material, and intent to use. For the online modules, assessments are incorporated into the modules and for the teaching toolkit, a survey is administered after the in-person class. Prior to broad dissemination, both curricula were piloted. Following piloting, these curricula were made freely available, with outreach to the medical librarian community to encourage use at institutions across the United States to facilitate biomedical data management, sharing, and reuse.

Bios

Alisa Surkis
Alisa Surkis is the Head of Data Services and the Translational Science librarian. The Data Services unit provides support for research data management and data visualization, maintains an institutional data catalog, and serves as a locus for education on collecting, managing, analyzing, visualizing, and sharing data. In her role as Translational Science Librarian, Dr. Surkis is the Director of Team Science for the NYU-HHC CTSI and works to facilitate research collaboration. She also leads a cross-institutional effort that uses machine learning to classify studies along the translational research spectrum.


Kevin Read
Kevin Read is an Assistant Curator at the NYU School of Medicine. He is the lead of the NYU Data Catalog Project, an index of datasets generated by NYU researchers and local experts for large publically available and licensed datasets. Mr. Read provides data management training to students, faculty and staff and teaches a data-focused graduate course for first year basic science MD/PhD students. He also works collaboratively with his institution’s clinical data management core and research IT department to provide clinical data management and REDCap training throughout the medical center.

IMPORTANT NOTICE

IMPORTANT NOTICE: This ReadyTalk service includes a feature that allows audio and any documents and other materials exchanged or viewed during the session to be recorded. By joining this session, you automatically consent to such recordings. If you do not consent to the recording, discuss your concerns with the meeting host prior to the start of the recording or do not join the session. Please note that any such recordings may be subject to discovery in the event of litigation.