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Call for Chapters: Data Visualization: A Guide to Visual Storytelling for Librarians (LITA Guides)

Call for Chapters: Data Visualization: A Guide to Visual Storytelling for Librarians

Proposals Submission Deadline: April 30, 2015

Full Chapters Due: August 1, 2015

Editor: Lauren Magnuson (California State University, Northridge, Los Angeles, United States)

Series: LITA Guides

Publisher: Rowman & Littlefield Publishers, Inc.

Introduction

Skills in data visualization are increasingly crucial for librarians and information professionals who work in libraries. Data and information visualization involves expressing information to tell meaningful stories with datasets. It is critical for libraries to communicate their value to their stakeholders, and data visualization tools and technologies can enable libraries to tell the story of their value in a way that is dynamic, engaging, and easy for viewers to understand. Libraries can also utilize data visualization technologies to assist researchers in interpreting public open data sets.

Objectives

This book will include three sections: 1) Choosing and interpreting datasets for visualization, 2) Tools and technologies for creating meaningful visualizations, and 3) Case studies of information visualization projects or applications in libraries. While many resources exist that focus on the tools and technologies of information visualization, this book?s emphasis on visualizing the unique data points important to libraries, such as electronic resource usage metrics, will be of direct use to library professionals and will be a distinctive feature of this book.

Target Audience

This book is of interest to public, academic, and special libraries, as many types of educational and information agencies seek to document and relate their value to their communities. Moreover, creating and interpreting data visualizations is an essential skill for library and information professionals seeking to make informed decisions based upon large and complex datasets about user behavior.

Recommended Topics

Recommended topics include, but are not limited to:

Choosing, interpreting, and designing visualizations from datasets, such as:

How to identify data for use in visualizations
Data presentation architecture
Principles/best practices of visual storytelling with library data
Visualizing data from a variety of sources, such as:

Electronic resource (journal, database, e-book) usage
Discovery and user behavior metrics and analytics
Integrated Library System (ILS) / Library Services Platform (LSP) data
Physical space utilization visualization
Learning outcomes / instructional effectiveness metrics
Institutional repository usage and inventory metrics
Geographic and/or demographic data about library users or collections
Visualizing workflows and processes
Data mashups (combining data from multiple sources)

Tools, technologies, and architecture for creating meaningful visualizations, such as:

JavaScript visualization libraries such as D3, Highcharts, Leaflet, Tabletop, or others
Google Visualization API / Google Charts
Creating visualizations with data from Business Intelligence (BI) tools such as Pentaho, Jaspersoft, or Tableau
GIS tools for visualizing spatial or geographic data
Tools for visualizing workflows and processes

Case studies of information visualization projects or applications in libraries, such as:

Creating library usage and analytics dashboards
Visualizing library collection usage
Visualizations for data-driven decision making
Visualizing processes or workflows for training and identifying efficiencies
Using data visualizations in discovery interfaces
Using data mashups (data combined from multiple sources) for visualizations
Integrating data and spatial literacy into information literacy instruction
Data visualization challenges and emerging trends in libraries

Submission Procedure

Please send a proposed title, 500-word abstract, and 100-word author bio to lauren.magnuson[at]csun.edu on or before April 30, 2015. Authors will be notified by May 5, 2015 about the status of their proposals.

Full chapters, 7,000-10,000 words each, are expected to be submitted by August 1, 2015. Full chapters can contain up to 8 color graphics/images. Chapters collaboratively written by multiple authors are welcome and encouraged. No previously published or simultaneously submitted material, please.

Full chapters should generally be organized with the following sections, with a maximum number of 8 color images per chapter:

Introduction (500 words)
Background (1000 words)

History of your topic or visualization technology
Explanation of unfamiliar terms
The problem data visualization addresses

Example Project or Case Study (4000-5000 words)

Use case(s)
Design
Resources and tools used (e.g., server, development environment, software)
Development
Implementation

Discussion, Outcomes and/or Assessment (1000 words)

Assessing the impact of your data visualization project / case study
Challenges and limitations
Report case study outcomes (if applicable)

Conclusions and Future Directions (500 words)

Important Dates

April 30, 2015: Proposal Submission Deadline

May 5, 2015: Notification of Acceptance

August 1, 2015: Full Chapter Submission Deadline

September 1, 2015: Required Revisions Deadline

September 15, 2015: Final Acceptance Notification

Inquiries can be sent to:

Lauren Magnuson

Systems & Emerging Technologies Librarian

Oviatt Library

California State University, Northridge

18111 Nordhoff Street

Northridge, CA 91330-8328

TEL: 818-677-2281

Twitter: @lpmagnuson

Email: lauren.magnuson[at]csun.edu

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