Data visualization using Viewshare
| Pages | 1-10 |
| Date | 07 August 2017 |
| DOI | https://doi.org/10.1108/LHTN-02-2017-0009 |
| Published date | 07 August 2017 |
| Author | Shreedhar S.,Manju Naik |
| Subject Matter | Library & information science,Librarianship/library management,Library technology,Library & information services |
CONTENTS
Professional literature
Data visualization using Viewshare . . . 1
Feature article
Library orientation in blackboard:
supporting online and distance
learners .....................11
Professional literature
From request to assess: using
cloud-based tools for the library
instruction lifecycle ...........14
Columns
What’s trending in the library
cybersphere – Recent conferences
and posts focus on data and
information literacy ...........21
Reference to healthy food menu on iOS
platform..................... 23
Data visualization using
Viewshare
Shreedhar S. and Manju Naik
1. Introduction
Data visualization is not a new
concept as it has been widely used in the
library environment for representing
the collection, use and budget statistics. The
data are represented in a graphical format
to achieve effective communication.
Visualization and visual imaging have
been an effective way to communicate
both abstract and concrete ideas.
Visualization today has been constantly
developing applications in scientific
applications, education, engineering,
interactive multimedia and medical
sciences, etc. (Gunasekaran and
Venkatesan, 2016). The features
available in MS-Excel and
MS-PowerPoint for visualizing data
have contributed to the application of
data visualization in various fields.
Realizing the high impact of data
visualization in communication, many
dedicated data visualization
applications are being developed which
are more attractive, customizable and
interactive.
Libraries have collected many
different types of data sets. These
include the collection type based on
format and subject, registered users,
budget, circulation details, usage of
different sections of the collection,
computer and internet usage statistics
etc. Extracting and conveying the
information from these data sets is a
very big task. The solution for this
situation is the use of data visualization
techniques, which aids in easy
interpretation of data. North Carolina
State University Libraries are using
visualization techniques to observe
temporal trends in usage of group study
areas; usage was examined over the
years, by day of the week, by hour of
the day and over the course of the
semester (“Group Study Room Usage
Patterns”, 2012). They have also been
experimenting with the usage of data
visualization in library computer usage,
reference transaction patterns, etc.
E-journals have become an
important source of information for
library users. They have become an
integral part in research and knowledge
development. Hundreds of e-journals
are being subscribed directly and
thousands more of them are accessed
through a consortium. But, the big
question is, are these e-journals being
accessed effectively? Among the many
reasons of under utilization of
e-journals by library users is the
unfamiliarity of journals subscribed by
the library. Long lists of e-journals are
difficult to search and explore. Data
should be represented in such a way
that the user can easily search, explore,
filter and customize his/her search
query. In addition, if these features are
supplemented with the graphical
VOLUME 34 NUMBER 6 2017
JULY
AN EMERALD PUBLICATION
LIBRARY HI TECH NEWS NUMBER 6 2017
Library Link
www.emeraldinsight.com/librarylink
LIBRARY HITECH NEWS Number 6 2017, pp. 1-10, © Emerald Publishing Limited, 0741-9058, DOI 10.1108/LHTN-02-2017-0009 1
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