AffiliationOffice of Digital Innovation and Stewardship, University Libraries, University of Arizona
MetadataShow full item record
PublisherTaylor & Francis Group
CitationJeffrey C. Oliver, Christine Kollen, Benjamin Hickson & Fernando Rios(2019): Data Science Support at the Academic Library, Journal of Library Administration, DOI:10.1080/01930826.2019.1583015
Rights© The Author(s)
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at firstname.lastname@example.org.
AbstractData science is a rapidly growing field with applications across all scientific domains. The demand for support in data science literacy is outpacing available resources at college campuses. The academic library is uniquely positioned to provide training and guidance in a number of areas relevant to data science. The University of Arizona Libraries has built a successful data science support program, focusing on computational literacy, geographic information systems, and reproducible science. Success of the program has largely been due to the strength of library personnel and strategic partnerships with units outside of the library. Academic libraries can support campus data science needs through professional development of current staff and recruitment of new personnel with expertise in data-intensive domains.
VersionFinal accepted manuscript