Data Science in the Library

Joel Herndon is the Director of the Center for Data and Visualization Sciences (CDVS) at Duke University Libraries where he leads a library data science program providing support for data visualization, data management, digital mapping, and computational research support. Joel's research focuses on how universities can improve data sharing and data science initiatives through partnerships, training, infrastructure, and project support.

• PART 1: DATA SCIENCE AND RESEARCH LIBRARIES – PERSPECTIVES Sustainability and Success Models for Informal Data Science Training within LibrariesElizabeth WickesThe Fundación Juan March DataLab: A Data Science Unit within a Research Support LibraryLuis Martínez-Uribe, Paz Fernández and Fernando MartínezPART 2: DATA SCIENCE INSTRUCTION Toward Reproducibility: Academic Libraries and Open ScienceJoshua QuanStart with Data ScienceMine Çetinkaya-RundelPART 3: DATA SCIENCE SERVICES In Support of Data-Intensive Science at the University of WashingtonJenny MuilenburgFrom a Data Archive to Data Science: Supporting Current ResearchTim Dennis, Zhiyuan Yao, Leigh Phan, Kristian Allen, Jamie Jamison, Doug Daniels and Ibraheem AliPART 4: DESIGNING AND STAFFING DATA SCIENCE In-House Training as the First Step to Becoming a Data Savvy LibrarianJeannette Ekstrøm Designing for Data Science: Planning for Library Data ServicesJoel Herndon

”These [case studies] 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 ... 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.”— Choice