Data 2 Discovery: Accelerating Research with Real-World Evidence from Local and National Datasets
Originally presented Tuesday, December 9, 1:00-4:00pm (hybrid), ALGEN Room 201
Investigators increasingly need fast, reliable access to high-quality real-world population data to launch studies, validate hypotheses, and accelerate publication and funding. This workshop is designed to meet those needs by showing you exactly how to tap into UAB’s powerful ecosystem of patient data resources—from self-service discovery tools to fully supported analytic data extractions.
You will learn how to quickly obtain population-level counts, recruitment lists, advanced dataset bundles, and large-scale raw EHR data using tools such as i2b2 and DataLENS, as well as how to request analyst-curated datasets for complex research designs. The workshop also spotlights national-scale data networks available exclusively to UAB investigators, opening the door to multi-site, diverse, and representative cohorts across the U.S.
Whether your work focuses on epidemiology, comparative effectiveness, outcomes research, predictive modeling, machine learning, AI, or clinical text mining, this session will help you bridge the gap between your scientific question and the data required to answer it. Attendees will leave with clear strategies for forming data-ready research questions, navigating methodological considerations, leveraging clinical notes via NLP, and exploring data sources beyond UAB.
If your research requires real-world clinical evidence—structured data, text data, or national-scale datasets—this workshop is built to empower your next project.