Tuesday, June 21, 2016

Library Improvement through Data Analytics


Farmer, Lesley S. and Alan M. Safer. Library Improvement through Data Analytics. Neal-Schuman, 2016. ISBN: 978-0-8389-1425-0

Use of data to make the case for library services is more important than ever. This book introduces the basics of the Six Sigma framework, a data-driven management system, as a model that can be applied to a variety of library settings. It covers basic statistical concepts, sources of data, application of appropriate analysis methods, and offers case studies to explore areas such as e-book collection development and reference.

Table of Contents

Part I    Overview

Chapter 1    Introduction
Chapter 2    Planning with Six Sigma

Part II        Six Sigma Steps

Chapter 3    Defining the Project
Chapter 4    Measure the Current Situation
Chapter 5    Analyze Existing Processes
Chapter 6    Improve or Introduce the Process
Chapter 7    Control the Process

Part III    A Statistics Primer

Chapter 8    Cleaning Data
Chapter 9    Getting Started with Statistics
Chapter 10    Matching Data Analytic Methods to Data
Chapter 11    Statistical and Survey Software for Libraries

Part IV    Case Studies

Chapter 12    Access and Retrieval: Case Study
Chapter 13    Benchmarking Library Standards: Case Study
Chapter 14    Data Sets: Case Study
Chapter 15    Digitization: Case Study
Chapter 16    Ebook Collection Development: Case Study
Chapter 17    Facilities: Case Study
Chapter 18    Information Audit: Case Study
Chapter 19    Instruction: Case Study
Chapter 20    Knowledge Management: Case Study
Chapter 21    Lending Devices: Case Study
Chapter 22    Marketing Virtual Reference Services: Case Study
Chapter 23    Optimizing Online Use: Case Study
Chapter 24    Reference Staffing Patterns: Case Study
Chapter 25    True Costs of Acquisitions: Case Study with Implications for Selection Practice