Creating a Data Science Framework: A Model for Academic Research Libraries. Issue 3 (3rd April 2021)

• Record Type: Journal Article
• Authors: Mani, Nandita S.; Cawley, Michelle; Henley, Amanda; Triumph, Therese; Williams, Joe M.
• Is Part Of: Journal of library administration. Volume 61:Issue 3(2021)
• Page Start: 281
• Page End: 300
• Publication Date: 2021-04-03
• Subjects: Data science -- libraries -- partnership -- data science planning -- framework -- research library; Library administration -- Periodicals; 025.1
• DOI: 10.1080/01930826.2021.1883366
• Languages: English
• ISSNs: 0193-0826

Abstract

Abstract: The University Libraries participated in a pan-campus planning exercise to determine the feasibility of a comprehensive data science (DS) initiative. In addition, Library Leadership set forth a charge to develop a DS framework to explore and articulate how the Libraries could add value to campus DS efforts. This article provides a model of how a large research university library system developed a DS framework by examining current and future services, skills, structures, stakeholders, and put forth recommendations around DS engagement for the University of North Carolina at Chapel Hill community. This framework could be applied to other academic departments and research support units.