Data Science Support at the Academic Library. Issue 3 (3rd April 2019)

• Record Type: Journal Article
• Authors: Oliver, Jeffrey C.; Kollen, Christine; Hickson, Benjamin; Rios, Fernando
• Is Part Of: Journal of library administration. Volume 59:Issue 3(2019)
• Page Start: 241
• Page End: 257
• Publication Date: 2019-04-03
• Subjects: data visualization -- GIS -- python -- R programming -- reproducibility; Library administration -- Periodicals; 025.1
• DOI: 10.1080/01930826.2019.1583015
• Languages: English
• ISSNs: 0193-0826

Abstract

Abstract: Data 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.