Kosár (0)
Kívánságlista (0)
Értesítés a kedvenc témákról
__

Data Science in the Library

Tools and Strategies for Supporting Data-Driven Research and Instruction
 
Kiadás sorszáma: 1
Kiadó: Facet Publishing
Megjelenés dátuma:
 
Normál ár:
Kiadói listaár:
GBP 120.00
Becsült forint ár:
57 960 Ft (55 200 Ft + 5% áfa)
Miért becsült?
 
Az Ön ára:
46 368 (44 160 Ft + 5% áfa )
Kedvezmény(ek): 20% (kb. 11 592 Ft)
A kedvezmény érvényes eddig: 2024. június 30.
A kedvezmény csak az 'Értesítés a kedvenc témákról' hírlevelünk címzettjeinek rendeléseire érvényes.
Kattintson ide a feliratkozáshoz
 
Beszerezhetőség:
Még nem jelent meg, de rendelhető. A megjelenéstől számított néhány héten belül megérkezik.
 
Kosárba teszek
  példányt

 
Rövid leírás:

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.

Hosszú leírás:

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.

Tartalomjegyzék:

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