discussed the characteristics of big data and summarized the big data application in library services

2. BY
N.Harilakshmi,
Research Scholar,
Department of Library and information science,
USING BIG DATA WITH ACADEMIC
LIBRARY
SERVCES: A VIEW

3. AbstractLibraries play an important role at the intersections of
government, universities, research institutes and the
public since they are storing and managing digital
assets. The large amount of data and those data in
library need to be transformed into information or
knowledge which then be used by researchers or
users.Librarians might need to understand how to
transform, analyze and present data in order to facilitate
knowledge creation. In this work, we discussed the
characteristics of Bigdata and summarized the Big data
applications in library services.

4. Introduction
Emerging technologies have offered libraries and librarians’
new ways and methods to collect and analyze data in the era of
accountability to justify their value and contributions. As
libraries are offering more online resources and services,
librarians are able to use emerging tools to collect more online
data. Mean while, many libraries are using social media outlets
to promote their services and programs. Consequently, those
social media outlets collect and own library user data. Several
social scientists and librarians raise questions regarding the
collection and availability of social media data.
* Conley and his colleagues are concerned about what they
identify as three important threats to social scientists collection
and use of big data: privatization, amateurization,
and Balkanization regarding research support and funding
opportunities.

5. Big dataThe term big data has been
broadly becoming a buzz
word – combination of
both technical and
marketing. Big data is data
that becomes large enough
that it cannot be processed
using conventional
methods. The size of the
data which can be
considered to be Big Data
is a constantly varying
factor and newer tools are
continuously being
developed to handle this
“Big Data”.

6. Characteristics of Big data
Volume
Variety
VelocityVariability
complexity

7. Sources of Big data
 An organization that collected a lot of data, can seek to
organize the data so that materials can be retrieved, as
needed. The Big Data effort is intended to streamline the
regular activities of the organization. The collected data
can be used, in its totality, to improve quality of service,
increased staff efficiency and reducing operational costs.
 An organization that collected a lot of data, may enable
them to develop new products based on the preferences of
their loyal customers to reach new markets.
 An organization is part of a group of entities that have large
data resources. All of whom understand that it would be to
their advantage to federate their data resources.

8. Benefit from Big data
 Government agencies, corporate organizations research
institutions, etc.
 NSF (National Science Foundations,2012), USA envisions that:
 Predictions of Natural Disasters
 Responses to disaster recovery.
 Complete health/disease /genome.
 Accurate high-resolution models to support forecasting
 Consumers have the information they need
 Civil engineers
 Students and researchers
 Big data resources are permanent, and the data within the
resource is immutable.

9. Big Data with Academic Library
data
 Big data is a hot topic during these days. Big data
technologies make it easier to work with large datasets,
link different datasets, detect patterns in real time,
predict outcomes, undertake dynamic risk scoring and
test hypotheses. Libraries and librarians are uniquely
suited to working with big data. Libraries have long
traditions of being information handlers and
technology adopters, and big data should be no
exception

10. Big Data with
Academic Library
data
users are using the library
to conduct search for
references, mining user
behaviors might give
insight for providing
better service. That
means that two aspects of
data mining could be
achieved: one is using
data stored in the library
and another is using the
data collected during the
process when users use
the library service. Some
of those are listed as
below.
Data Driven for Decision Making
New data format
Data standardization and
data mining
Library Data Visualization
User Behavior Study

11. Conclusion
 We have Bug Data in our libraries. Big data in library might have less
challenge to study, but more challenge to engage with it due to budget
and technical issues. There is also absence of big data methods
training on most social science curricula. Big data can certainly help
libraries make more cost-effective, innovative decisions or
recommendations that users wish to have.
 The research data are increasing very fast, and more and more
researchers wish to use collections as a whole, mining and organizing
the information in novel ways. Without big data analysis, some
patterns might not be easily found. The data collected when library
users use the service are very helpful in improving the overall user
experience, and user’s satisfactory of library service.
 The ability to collect and analyze massive amounts of data will be a
competitive advantage across all industries, including library. The big
data currently might be suitable only for those organizations with large
set of data and funding. The traditional DBMS or data analysis might
be technologies used in library big data.