Clinical Support

Paper: Program Description Abstract

Strengthening Institutional Partnerships to Support Clinical Research: Hosting a Clinical Data Training Series in an Academic Medical Center

Monday, May 6
2:20 PM - 2:35 PM
Room: Columbus EF (East Tower, Ballroom/Gold Level)

Background : An academic health sciences library, with experience providing clinical research data management (CRDM) and REDCap training to faculty, students, research coordinators and other staff, identified that attendees had a lack of knowledge about institutional clinical research support. Evaluation data from these trainings indicated that attendees had a desire to learn about advanced clinical research topics related to compliance, data transfer, statistics, data integrity, and Good Clinical Practice. To fill institutional knowledge gaps and satisfy training needs, the library spearheaded a Clinical Data Series by collaborating with stakeholders from across the institution to establish a holistic clinical research data training program.
Description : To lead this effort, the library partnered with stakeholders from the Office of Science and Research, General Counsel, Information Technology, Population Health, and Research Compliance and invited them to offer training alongside library-taught CRDM and REDCap classes as part of the Clinical Data Series. To improve institutional awareness of clinical research data support, the following classes were developed and taught by these departments in collaboration with the library: Interacting with Statisticians, Data Transfer, Research Compliance, Data Integrity and Preventing Data Loss, and Good Clinical Practice-Related Data Issues. Classes were assessed using an evaluation form administered at the end of each class. The evaluation form asked attendees if they would use what they learned, how they would specifically apply what they learned in their current role, and if they would recommend the class to others.
Conclusion : 190 people attended 9 classes. 181 attendees completed an evaluation form, with 97% stating they would use what they learned, and 91% stating they would recommend the class they took to others. The Clinical Data Series provided an opportunity to establish new partnerships across the institution with the end goal being that our research community is better trained, more compliant, and increasingly aware of established institutional clinical research workflows. With the library serving as the entrypoint for teaching researchers and identifying their data management concerns, it can serve as the institutional referral pipeline for ensuring clinical researchers are trained accordingly.

Kevin Read

Lead, Data Discovery and Data Services Librarian
NYU Health Sciences Library
New York, New York

Kevin Read, MLIS, MAS is the Lead of Data Discovery and Data Services Librarian at NYU Langone Health. He leads the NYU Data Catalog project; an initiative to make research datasets created and used by NYU researchers more discoverable. He also leads the Data Catalog Collaboration Project, a multi-site collaboration consisting of eight academic institutions working to improve the discoverability of institutional research data using the NYU Data Catalog model.

Beyond his data discovery efforts, Kevin provides training and research support to faculty, residents, students and staff on topics including: clinical research data management, REDCap, reproducibility, and data sharing.

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