Data science for librarians

"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"--Provided by publisher.

Bibliographic Details
Main Authors: Du, Yunfei 1970- (Author), Khan, Hammad Rauf (Author)
Resource Type: Book
Language:English
Published: Santa Barbara, California Denver, Colorado Libraries Unlimited, an imprint of ABC-CLIO [2020]
Series:Library and Information Science Text Series
Subjects:
Table of Contents:
  • 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.