It has become increasingly accepted that important digital data must be
retained and shared in order to preserve and promote knowledge, advance
research in and across all disciplines of scholarly endeavor, and
maximize the return on investment of public funds. To meet this
challenge, colleges and universities are adding data services to
existing infrastructures by drawing on the expertise of information
professionals who are already involved in the acquisition, management
and preservation of data in their daily jobs. Data services include
planning and implementing good data management practices, thereby
increasing researchers' ability to compete for grant funding and
ensuring that data collections with continuing value are preserved for
reuse. This volume provides a framework to guide information
professionals in academic libraries, presses, and data centers through
the process of managing research data from the planning stages through
the life of a grant project and beyond. It illustrates principles of
good practice with use-case examples and illuminates promising data
service models through case studies of innovative, successful projects
and collaborations.