6 Association of Research Libraries Research Library Issues 298 — 2019 Data Literacy as a Pathway to Data Science at Georgia Tech Catherine Murray-Rust, Dean of Libraries, Georgia Tech in collaboration with: Ameet Doshi, Director, Service Experience and Program Design, Georgia Tech Jay Forrest, Data and Statistical Analysis Manager Librarian, Georgia Tech Ximin Mi, Data Visualization Librarian, Georgia Tech Alison Valk, Multimedia Instruction Librarian and College of Computing Liaison, Georgia Tech A 2019 Gartner report, Design a Data and Analytics Strategy, asserts that “data literacy is a growing challenge for most organizations. By 2020, 80% of organizations will initiate deliberate competency development in the field of data literacy, acknowledging their extreme deficiency.”1 Campus collaborations increasingly rely on the ability to curate big data in support of the research community, and undergraduate and graduate student work increasingly requires basic skills in interpreting and presenting data. Librarians in their role as educators—serving the whole campus and the whole person—appreciate that data literacy, as distinct from data science in support of research, is fast becoming a required second language in a digital society. One of the basic tenets of Georgia Tech Library’s strategic initiative, Library Next, is a continuing analysis, based on purposeful interactions with faculty and students, of service gaps that the library can fill. Through Library Next, Georgia Tech is creating a new version of a technologically focused research library for the 21st century. Begun several years ago as a library building renovation, Library Next is now a major transformation of the library’s vision. All components of a research library—inspirational physical and digital environments, curated scholarly content, outstanding services, and information