8 Association of Research Libraries Research Library Issues 298 — 2019 services that informed a transformative design of the physical spaces in the renovation of the two mid-century library buildings. Through this planning effort, library faculty and staff learned how to engage the campus community in discussions about their needs and wants for the future. The result was a Playbook6 that closely aligns institutional and user goals and aspirations. Read together, the CNE report and the Playbook connect the tradition of Georgia Tech and its library on a path forward that is both practical and inspirational. Data literacy and data science are core elements to Georgia Tech’s future. Learning Together Supporting data science and data literacy has prompted the research library community to skill up. The Institute of Museum and Library Services (IMLS) has issued several recent grants to prepare librarians and other educators to teach data literacy, among them the ambitious Library Carpentry program expansion by the California Digital Library (CDL).7 Similarly, IMLS funded the University of Michigan, Duke University, and the University of Southern California to study data visualization support and usage in libraries, which will culminate in the Visualizing the Future Symposia in 2020.8 Earlier IMLS grants expanded the capacity of academic and research librarians to teach data literacy, such as at North Carolina State University Libraries, which supports a robust data visualization program on its campus. Additional IMLS-funded projects at Purdue University, Cornell University, University of Minnesota, and University of Oregon have all contributed to our collective insights and experience in developing strategies and techniques for preparing students for a data- centric future. Most research universities have data science and data analytics programs directed toward students majoring in disciplines such as science, engineering, and business. Georgia Tech offers courses for undergraduates and graduate students in disciplinary data science, and recently added another master’s degree in data analytics, on campus and online, organized into three tracks: analytical tools, business