This workshop explores and encourages participants to ideate on how team science approaches and data reuse can sustain research productivity and train the next-generation of scientists, particularly during a period of constrained federal science funding. Perspectives from national coordinating centers, such as NIH HEAL, NIH RADx, and NHLBI BioData Catalyst will be provided, showcasing how intentional team-based strategies toward interdisciplinary data reuse can maximize the impact of existing datasets, particularly in resource-limited environments, and cultivate collaborative research communities. Critically, this workshop will focus on data reuse as a team-oriented mechanism for training students and early-career researchers, helping them gain interdisciplinary research experience, mentorship, and skill development that prepares them for future opportunities, without requiring costly new data collection. Participants will examine models to build sustainable teams across consortia, CTSA hubs, academic departments, and individual research groups, focusing on practices that foster shared goals, trust, and effective communication. The session highlights practical strategies for lowering barriers to reuse through coordinated metadata, documentation, and user support, while demonstrating how collaborative approaches increase research visibility, strengthen partnerships, and optimize public investment in science. This workshop positions data reuse and team science as both a solution to funding constraints and a vehicle for workforce development, offering actionable strategies for sustaining scientific progress, fostering collaborative research cultures, and preparing the next generation of scientists. ** Note: We ask participants to bring their computer for collaborative work in Google docs and/or Microsoft Teams. **