Description
Facet Publishing Data Science in the Library Tools and Strategies for Supporting Data-Driven Research and Instruction by Joel Herndon
In the last decade, data science has generatednew fields of study and transformed existing disciplines. As data sciencereshapes academia, how can libraries and librarians engage with this rapidlyevolving, dynamic form of research? Can libraries leverage their existingstrengths in information management, instruction, and research support toadvance data science?DataScience in the Library: Tools and Strategies for Supporting Data-DrivenResearch and Instruction brings togetheran international group of librarians and faculty to consider the opportunitiesafforded by data science for research libraries. Using practical examples, eachchapter focuses on data science instruction, reproducible research,establishing data science services and key data science partnerships.This book will be invaluable tolibrary and information professionals interested in building or expanding datascience services. It is a practical, useful tool for researchers, students, andinstructors interested in implementing models for data science service thatbuild community and advance the discipline. Table of Contents : PART 1: DATA SCIENCE AND RESEARCH LIBRARIES - PERSPECTIVESSustainability and Success Models for Informal Data Science Training within LibrariesElizabeth WickesThe Fundacion Juan March DataLab: A Data Science Unit within a Research Support LibraryLuis Martinez-Uribe, Paz Fernandez and Fernando MartinezPART 2: DATA SCIENCE INSTRUCTIONToward Reproducibility: Academic Libraries and Open ScienceJoshua QuanStart with Data ScienceMine Cetinkaya-RundelPART 3: DATA SCIENCE SERVICESIn 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 SCIENCEIn-House Training as the First Step to Becoming a Data Savvy LibrarianJeannette EkstromDesigning for Data Science: Planning for Library Data ServicesJoel Herndon