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In the last decade, data science has generated new fields of study and transformed existing disciplines. As data science reshapes academia, how can libraries and librarians engage with this rapidly evolving, dynamic form of research? Can libraries leverage their existing strengths in information management, instruction, and research support to advance data science?
Data Science in the Library: Tools and Strategies for Supporting Data-Driven Research and Instruction brings together an international group of librarians and faculty to consider the opportunities afforded by data science for research libraries. Using practical examples, each chapter focuses on data science instruction, reproducible research, establishing data science services and key data science partnerships.
This book will be invaluable to library and information professionals interested in building or expanding data science services. It is a practical, useful tool for researchers, students, and instructors interested in implementing models for data science service that build community and advance the discipline.
Database management in libraries. --- Data curation in libraries. --- Data services librarians. --- Data librarians --- Librarians --- Public services (Libraries) --- Research --- Big data. --- Data processing. --- Data sets --- Data sets, Large --- Large data sets --- Electronic data processing in research
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Outside back cover : Practical Data Science for Information Professionals provides an accessible introduction to a potentially complex field, providing readers with an overview of data science and a framework for its application. It provides detailed examples and analysis on real data sets to explore the basics of the subject in three principle areas: clustering and social network analysis; predictions and forecasts; and text analysis and mining. As well as highlighting a wealth of user-friendly data science tools, the book also includes some example code in two of the most popular programming languages (R and Python) to demonstrate the ease with which the information professional can move beyond the graphical user interface and achieve significant analysis with just a few lines of code.After reading, readers will understand: the growing importance of data science; the role of the information professional in data science; some of the most important tools and methods that information professionals can use.Bringing together the growing importance of data science and the increasing role of information professionals in the management and use of data, Practical Data Science for Information Professionals will provide a practical introduction to the topic specifically designed for the information community. It will appeal to librarians and information professionals all around the world, from large academic libraries to small research libraries. By focusing on the application of open source software, it aims to reduce barriers for readers to use the lessons learned within.
Exploration de données. --- Sciences de l'information. --- Data mining. --- Information science. --- Database management in libraries. --- Data curation in libraries. --- Data services librarians. --- Research --- Data processing. --- Library research --- Information retrieval --- Library automation --- Information systems --- Data Mining --- Information Science --- Science --- Science research --- Scientific research --- Information services --- Learning and scholarship --- Methodology --- Research teams --- Data librarians --- Librarians --- Public services (Libraries) --- Data processing --- Management.
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Librarians --- Library science --- Information science --- Big data. --- Data centers. --- Database searching. --- Data services librarians. --- Electronic information resource literacy. --- big data $9 eng --- data processing $9 eng --- information profession $9 eng --- Data librarians --- Data sets, Large --- Large data sets --- Data sets --- Communication --- Information literacy --- Librarianship --- Library economy --- Bibliography --- Documentation --- Information scientists --- Library employees --- Libraries --- Data base searching --- Database search strategies --- Search strategies in databases --- Searching databases --- Electronic information resource searching --- Data libraries --- Datacenters --- Computer service industry --- Effect of technological innovations on. --- Vocational guidance. --- Data libraries. --- Documentation and information --- Information systems
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