The Bridge2AI Program seeks to bridge the biomedical and behavioral research communities with the rapidly growing community of experts developing AI/ML models by producing flagship datasets that adhere to the FAIR principles (Findable, Accessible, Interoperable, Reproducible) and critically integrate ethical considerations in preparing data for computation. The BRIDGE Center will use biomedical and behavioral research grand challenges (see illustrative list below) to drive the development of ethics, standards, tools, data sets, and skills and workforce development strategies for linking scientific workflows, protocols, and other information about the data collection process into computable knowledge. Data sets may be linked to existing clinical, environmental and surveillance data as required by the chosen grand challenges. The overall goal of the BRIDGE Center is to generate flagship datasets and best practices for the collection and preparation of AI/ML-ready data to address biomedical and behavioral research grand challenges. The BRIDGE Center will require multiple scientific domains to come together with data science, data management and analytic experts to unlock the potential of AI/ML for the scientific community.