Data Science in the Library
GBP 60.00
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ISBN13: | 9781783304592 |
ISBN10: | 1783304596 |
Binding: | Paperback |
No. of pages: | 224 pages |
Size: | 234x156 mm |
Language: | English |
582 |
Reference works, dictionaries
Library and information science in general
Library and information management
Library automation, information processing
Conservation and storage
Libraries and information centres
Data management in computer systems
Database management softwares
Data Analysis
Further readings in linguistics
Reference works, dictionaries (charity campaign)
Library and information science in general (charity campaign)
Library and information management (charity campaign)
Library automation, information processing (charity campaign)
Conservation and storage (charity campaign)
Libraries and information centres (charity campaign)
Data management in computer systems (charity campaign)
Database management softwares (charity campaign)
Data Analysis (charity campaign)
Further readings in linguistics (charity campaign)
This book considers the current environment for data driven research, instruction, and consultation from a variety of faculty and library perspectives and suggests strategies for engaging with the tools and methods of data driven research.
While there is a growing literature that explores the technical details of data science and the growing methodological concerns, there have been few works that explore how these changes are influencing the work of library and information specialists and faculty.
This book considers the current environment for data driven research, instruction, and consultation from a variety of faculty and library perspectives and suggests strategies for engaging with the tools and methods of data driven research. By combining case studies on data science instruction/consultation with suggestions for best practices, this book contributes to the larger literature on integrating data science training, consultation, programming, and services into both library and university programs.
PART 1: DATA SCIENCE AND RESEARCH LIBRARIES ? PERSPECTIVES; Sustainability and Success Models for Informal Data Science Training within Libraries; The Fundación Juan March DataLab: A Data Science Unit within a Research Support Library; PART 2: DATA SCIENCE INSTRUCTION; Toward Reproducibility: Academic Libraries and Open Science; Start with Data Science; PART 3: DATA SCIENCE SERVICES; In Support of Data-Intensive Science at the University of Washington; From a Data Archive to Data Science: Supporting Current Research; PART 4: DESIGNING AND STAFFING DATA SCIENCE; In-House Training as the First Step to Becoming a Data Savvy Librarian; Designing for Data Science: Planning for Library Data Services