*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)

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 data.  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.



*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.



*See more information and full chapter guidelines here
<https://docs.google.com/document/d/1-ZSvcfmTluAq0VhS_SDslZAwAeGknEUtCsio6YdhzXs/edit?usp=sharing>.*



Lauren Magnuson

--

Systems & Emerging Technologies Librarian

Oviatt Library

California State University, Northridge

818.677.2281