Book
Data science for librarians / Yunfei Du and Hammad Rauf Khan.
Record details
- ISBN: 9781440871214 (trade paperback)
- Physical Description: ix, 168 pages : illustrations ; 26 cm.
- Publisher: Santa Barbara, CA : Libraries Unlimited, an imprint of ABC-CLIO, [2020]
- Copyright: ©2020
Content descriptions
| Bibliography, etc. Note: | Includes bibliographical references and index. |
| Formatted Contents Note: | More data, more problems -- A new strand of librarianship -- Data creation and collection -- Data for the academic librarian -- Research data services and the library ecosystem -- Data sources -- Data curation (archiving/preservation) -- Data storage, management, and retrieval -- Data analysis and visualization -- Data ethics and policies -- Data for public libraries and special libraries -- Conclusion : library, information, and data science. |
Search for related items by subject
| Subject: | Big data. Data curation in libraries. Data services librarians. Database management in libraries. Research > Data processing > Management. |
Search for related items by series
- ABC-CLIO
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.
- ABC-CLIO
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.
- Reviews fundamental concepts and principles of data science
- Offers a practical overview of tools and software
- Highlights skills and services needed in the 21st-century academic library
- Covers the entire research data life cycle and the librarian's role at each stage
- Provides insight into how library science and data science intersect
- Baker & Taylor
"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"-- - Book News
The authors explain data science for librarians. They discuss the definitions of data, big data, open data, and research data; data librarianship; data creation and collection; data aspects for academic, public, and special librarians; research data services; data sources; data curation, storage, management, retrieval, analysis, and visualization; ethics and policies; and data as an infrastructure for society, the data lifecycle, data analysis skill sets for librarians, and data literacy for library users. Annotation ©2020 Ringgold, Inc., Portland, OR (protoview.com) - McMillan Palgrave
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.
