Library support for clinical and translational research: research data management and data science

Abstract

Objective: Librarians supporting Yale's CTSA grantee, the Yale Center for Clinical Investigation, found that research data support is needed at multiple stages in the clinical research lifecycle. This poster highlights the research data needs of clinical and translational research staff and resources that medical librarians can leverage to support them. Methods: Through discussions with project managers, we identified some eighteen research support needs which are presented by clinical and translational research projects, and which library resources can meet. Several of these research support needs are related to research data management and data science. - A "sink-or-swim" style of research training, in terms of everything from literature searching to research data management - Confusion about data sharing requirements from funders and journals - Questions about how best to measure certain outcomes, which can be answered, in some cases, with reference to Common Data Elements - Missing or incomplete preregistrations, which are important because preregistration is an important tool to promote transparency - Questions about identifying sites, through Census data and GIS, where diverse study participants could be recruited Results: We are developing cross-training for librarians, and workshops for CTSA staff, to meet these needs. Conclusions: We hope that, after iterating versions of these workshops with CTSA staff, we will be able to share helpful insights about library support for translational research in the context of data management and data science. These findings will also inform our approach to data management training for residents and clinicians, as well as students.