Academic libraries have historically served as a hub for access to technology. Libraries commonly house an internal information technology (IT) team to serve unique needs in acquisition, resource management, and discovery; but these internal teams are not designed to address the technical needs of researchers. As a result, there is often a separation between services available through the library and services provided by central or research IT organizations. As research needs increasingly grow into heavy data and computational spaces, these two campus communities have an opportunity to collaborate on holistic services for students and researchers. Collaboration between libraries and IT teams combines expertise in reference interviews, workflow documentation, and researcher collaboration with expertise in cyberinfrastructure and data security. Among other benefits, this provides more opportunities for training and consulting, better enabling researchers in the discovery, management, and security of data generation, publication, and use. Such benefits are amplified as these collaborations are integrated into academic organizational models to build effective teams, services, and policy through shared governance. This panel brings together a variety of perspectives about how libraries and IT organizations are and can collaborate on data services. We will present a series of case studies from Arizona State University, the University of California Berkeley, and the University of Colorado Boulder whose libraries and IT departments are collaborating in innovative ways. The panel will feature ongoing efforts around how Libraries and Research Computing groups can work together to provide infrastructure and best practices to support the full research lifecycle.