Funded by a National Institutes of Health (NIH) Common Fund initiative in 2022, the Bridge to Artificial Intelligence (Bridge2AI) Consortium was established to generate flagship datasets and best practices for the collection and preparation of Artificial Intelligence/Machine Learning (AI/ML)-ready data to address biomedical and behavioral research grand challenges. Overall, the Bridge2AI Consortium consists of six cores and four Data Generating Projects. Altogether, the Consortium has over 300 members representing approximately 76 institutions nationally and internationally. Each Bridge2AI Core actively engages corresponding Data-Generating Project (DGP) modules to develop, implement, assess, and disseminate an evidence-based suite of standards, practices, and training to realize trustworthy biomedical AI. Specifically, the role of the Teaming Core is to facilitate the development of a team identity and a shared mental model of how Bridge2AI will work across a diverse and inclusive Bridge2AI. The Evaluation Center (TEC) has partnered with the Bridge2AI Teaming Core to conduct an evaluation of teaming across the Bridge2AI Consortium. This report provides a summary of the first-year Teaming Core activities, accomplishments, and evaluation findings.