Databrarianship : The Academic Data Librarian in Theory and Practice
by Lynda Kellam and Kristi Thompson
English | 2016 | ISBN: 0838987990 | 387 Pages | PDF | 3.25 MB
With the appearance ofbig data, open data, and particularly research data curation on many libraries'radar screens, data service has become a critically important topic for academic libraries. Drawing on the expertise of a diverse community of practitioners, this collection of case studies, original research, survey chapters, and theoretical explorations presents a wide-ranging look at the field of academic data librarianship.
By covering the data lifecycle from collection development to preservation, examining the challenges of working with different forms of data, and exploring service models suited to a variety of library types, this volume provides a toolbox of strategies that will allow librarians and administrators to respond creatively and effectively to the data deluge.
Edited by Kristi Thompson and Lynda Kellam, Databrarianship: The Academic Data Librarian in Theory and Practice provides advice and insight on data services for all types of academic libraries and will be of interest to library educators.
PostgreSQL Development Essentials
Windows Virus and Malware Troubleshooting
Core Concepts in Data Analysis: Summarization, Correlation and Visualization
Recommender Systems: The Textbook
Visualization of Time-Oriented Data
Oracle Database Transactions and Locking Revealed
Amazon Web Services in Action
Secrets of the Oracle Database
PHP MySQL For Dummies, 4th Edition
Hadoop: The Definitive Guide
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.
Python Data Science Handbook: Essential To(2736)
Text Analytics with Python: A Practical Re(2675)
Mastering Data Mining with Python - Find p(2670)
Practical Data Analysis - Second Edition(2396)
Scientific Computing with Python 3 - Secon(2364)
Principles of Data Mining, 3rd edition(2320)
Mastering Python Data Analysis(2266)
Mastering Social Media Mining with Python(2206)
Introduction to Artificial Intelligence(2143)
S Q L: The Ultimate Guide From Beginner To(2133)
Tableau: Creating Interactive Data Visuali(2112)
Big Data Analytics with Spark and Hadoop(2100)
R: Unleash Machine Learning Techniques(2034)
Principles of Data Science(1962)
Data Analysis Using SQL and Excel, 2nd Edi(1939)