[Sigdl-l] Call for Proposals: LITA Guide on Data Visualization

[DRESSLER, Virginia]

Please excuse any cross-postings.

--
Virginia Dressler, MA, MLIS
Digital Projects Librarian
University Libraries
Kent State University
Kent, Ohio
(330) 672-1465


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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<http://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<tel:818.677.2281>


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