Designing Rigorous and Reproducible Research Workflows

Term: Fall 2026

Dates: September 8th and 11th, 2026

Time: 9:00 a.m. to 2:00 p.m. Both Days

Location: University Mall 2104 (Directions)

Instructors: Alexandra Hanlon, Alicia Lozano, Missi Zhang, Christopher Grubb, Benjamin Brewer, Emmanuel, Nartey, Jonathan Petters, Matthew Brown, Janet Webster, Ayat Mohammed, Virginia Pannabecker, Michael Stamper, Nicole Braunscheidel, and Chreston Miller

Presented By: Center for Biostatistics and Health Data Science, Fralin Life Sciences Institute, Advanced Resource Computing, and University Libraries

Description:

This two-day workshop provides researchers with practical strategies for designing rigorous studies, managing data effectively, and building research workflows that are reproducible, collaborative, and sustainable. Participants will explore key considerations in study design, sample size planning, data organization and documentation, analysis workflows, version control, and the development of publication-ready research outputs. The workshop will also introduce practical and secure approaches for incorporating AI tools into the research lifecycle while considering privacy, accuracy, and research integrity. Throughout the workshop, participants will learn when and how to engage Virginia Tech resources and expertise to strengthen research planning, grant proposals, data and computational workflows, and team-based research. Designed for principal investigators, postdoctoral researchers, lab managers, research staff, and graduate students, the workshop emphasizes practical approaches that can be applied across a wide range of research disciplines.

Please note that this is a two-day workshop. Participants are expected to attend both days to receive credit and earn the workshop badge. The sessions across the two days are closely intertwined, with the content designed to build from one session to the next.