Data Science for Librarians
by20200430
Libraries Unlimited
Pages | 180 |
Topics | Big Data;Copyright;Data Ethics and Security;Data Management Planning;Data Mining;Data Repositories;Date Storage and Archiving;Metadata;Open Data;Research Data Life Cycle;Research Methods, Statistics, and Data: Data Analytics |
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eBook
9781440871221
MLA
Du, Yunfei and Khan, Hammad. Data Science for Librarians. Libraries Unlimited, 2020. ABC-CLIO, publisher.abc-clio.com/9781440871221.
Chicago Manual of Style
Du, Yunfei, and Hammad Khan. Data Science for Librarians. Libraries Unlimited, 2020. http://publisher.abc-clio.com/9781440871221
APA
Du, Y. & Khan, H. (2020). Data Science for Librarians. Retrieved from http://publisher.abc-clio.com/9781440871221
- Description
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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. Skills such 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
- Table of Contents
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Table of Contents
Data Science for Librarians
Author(s): Du, Yunfei; Khan, Hammad;Contributors: Du, Yunfei; Khan, Hammad;Abstract: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. Skills such 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
SortTitle: data science for librariansAuthor Info:Yunfei DuauthorHammad Rauf KhanauthoreISBN-13: 9781440871221Cover Image URL: ~~FreeAttachments/9781440871221.jpgPrint ISBN-13: 9781440871214Imprint: Libraries UnlimitedPages: 180Publication Date: 20200430- Cover Cover11
- Title Page iii4
- Copyright iv5
- Contents v6
- 1. More Data, More Problems 112
- 2. A New Strand of Librarianship 1728
- 3. Data Creation and Collection 3142
- 4. Data for the Academic Librarian 4354
- 5. Research Data Services and the Library Ecosystem 5566
- 6. Data Sources 6576
- Data and the Library Professional 6576
- Open Government Data 6677
- Data Repositories 6778
- Metadata 6879
- Data Citation 6980
- Data Collection and Harvesting 7081
- Data Extraction, Transformation, and Loading 7182
- Data Mining 7283
- Data Analysis and Librarians: An Overview 7687
- Conclusion 7788
- References 7889
- 7. Data Curation (Archiving/Preservation) 8192
- 8. Data Storage, Management, and Retrieval 91102
- 9. Data Analysis and Visualization 105116
- 10. Data Ethics and Policies 121132
- 11. Data for Public Libraries and Special Libraries 131142
- 12. Conclusion: Library, Information, and Data Science 145156
- Glossary 157168
- Index 165176
- About the Authors 169180