Integrating Numeric, Statistical, and Geospatial Data Services for Graduate Students
Maria Anna Jankowska · Zenodo (CERN European Organization for Nuclear Research) · 2012
This paper argues for collaboration among faculty, academic subject specialists, data librarians, GIS specialists, and data curators in order to respond to growing graduate student demand for digital statistical information and data. It presets weaknesses and strengths of a model operating at the Charles E. Young Research Library at the University of California, Los Angles. The article outlines a process in which graduate students benefit from having access to multiple points of service. The diversity of service points fosters relationships among all participants and improves communication between instructors and library staff, ultimately strengthening services offered to graduate students. Major challenges to the ongoing successful partnership include the availability of needed resources and sustainability of the model, which fulfills graduate students' needs for numeric, statistical, and geospatial data.