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.