Data Science for Librarians (Library and Information Science Text Series) - Softcover
Book 19 of 22: Library and Information Science Text
Synopsis
This unique textbook intersects traditional library science with data science principles that readers will find useful in implementing or improving data services within their libraries.
Data Science for Librarians introduces data science to students and practitioners in library services. Writing for academic, public, and school library managers; library science students; and library and information science educators, authors Yunfei Du and Hammad Rauf Khan provide a thorough overview of conceptual and practical tools for data librarian practice.
Partially due to how quickly data science evolves, libraries have yet to recognize core competencies and skills required to perform the job duties of a data librarian. As society transitions from the information age into the era of big data, librarians and information professionals require new knowledge and skills to stay current and take on new job roles, such as data librarianship. Such skills as data curation, research data management, statistical analysis, business analytics, visualization, smart city data, and learning analytics are relevant in library services today and will become increasingly so in the near future. This text serves as a tool for library and information science students and educators working on data science curriculum design.
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About the Author
Yunfei Du is professor of library science and associate dean in the College of Information at the University of North Texas. He has worked as a systems librarian and published in many academic journals.
Hammad Rauf Khan is the director of library services at the Columbus College of Art & Design.
"About this title" may belong to another edition of this title.
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Data Science for Librarians (Library and Information Science Text Series)
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Paperback. Condition: new. Paperback. This unique textbook intersects traditional library science with data science principles that readers will find useful in implementing or improving data services within their libraries.Data Science for Librarians introduces data science to students and practitioners in library services. Writing for academic, public, and school library managers; library science students; and library and information science educators, authors Yunfei Du and Hammad Rauf Khan provide a thorough overview of conceptual and practical tools for data librarian practice. Partially due to how quickly data science evolves, libraries have yet to recognize core competencies and skills required to perform the job duties of a data librarian. As society transitions from the information age into the era of big data, librarians and information professionals require new knowledge and skills to stay current and take on new job roles, such as data librarianship. Such skills as data curation, research data management, statistical analysis, business analytics, visualization, smart city data, and learning analytics are relevant in library services today and will become increasingly so in the near future. This text serves as a tool for library and information science students and educators working on data science curriculum design. This unique textbook intersects traditional library science with data science principles that readers will find useful in implementing or improving data services within their libraries.Data Science for Librarians introduces data science to students and practitioners in library services. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781440871214
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