Data science in the library : tools and strategies for supporting data-driven research and instruction /

Libraries increasingly have opportunities to move beyond bibliography and assist throughout the research life cycle, including methodology and data analysis and long-term preservation of data and scholarship. Data Science in the Library provides a series of case studies that show how academic libraries have moved into the realm of data science. These cases offer important insights into how libraries developed staffing and expertise, provisioned infrastructure, provided services and instruction, and--most important--collaborated with other units on campus and with organizations outside their institutions. Data librarians can learn about what others are offering. Instructional librarians can learn about different types of collaboration, workshops, and training opportunities. Library leadership can learn about resource requirements necessary for a successful, sustainable service. With open source software and curricula, public libraries should take a look to see how they too can further data literacy in their communities. In sum, this book will be useful to a wide variety of libraries and librarians, whether or not they have launched their own data science initiatives. Summing Up: Highly recommended. Graduate students, researchers, faculty, professionals. --Jay Forrest, Georgia Institute of Technology