NCHATS Data and Analytics: Workstream Overview and Research Data Governance Primer
The NCHATS Data and Analytics Workstream provides expertise in study design, health economics, and biomedical informatics to support Center Signature, Exploratory, and Pilot Feasibility projects as well as other Center functions. The presentation will start with an overview of this workstream and then provide an introduction to research data governance. This primer will cover the why, what, and how of data governance for health research that will be exemplified through real-world observational research resources.
National Center for Health and Criminal-Legal Systems Integration for Suicide Prevention (NCHATS)
NCHATS builds information bridges between healthcare organizations and justice systems to identify individuals at risk for suicide and connect them to care. NCHATS evaluates the clinical and cost-effectiveness of suicide prevention activities that bridge legal system contacts and community care. Specifically, the Center uses contact with the legal system as a novel indicator of suicide risk in the general population and connects individuals at risk for suicide to community care. Learn more about NCHATS work in this webinar.
Trust and Rigor: When Community-Engaged Research Meets Randomized Controlled Trials
For decades, Randomized Controlled Trials (RCTs) have been considered the “gold standard” for generating scientific evidence. Yet traditional RCTs often position communities as subjects rather than partners—contributing to mistrust, lower participation and retention rates, and interventions that struggle to succeed in real-world settings. Conversely, Community-Engaged Research (CEnR) prioritizes lived experience, equity, and local voice, but skeptics sometimes question whether it can achieve the scale and statistical power needed to drive broad scientific impact. What if you didn’t have to choose between scientific rigor and community trust? This webinar explored how researchers are integrating the strengths of both approaches to produce evidence that is not only rigorous, but also relevant, equitable, and sustainable. Discover practical strategies, real-world examples, and lessons learned from studies that successfully combine community partnership with robust research design.
