for getting the library resources fro the libraries entire world, the important tool is Library catalogues. every can browse all most all the world literature through WorldCat fro the INTERNET.
The story of how data became big starts many years before the current buzz around big data.The history of Big Data as a term may be brief – but many of the foundations it is built on were laid many years ago. Now, let’s look at a detailed account of the major milestones in the history of sizing data volumes in the evolution of the idea of “big data” and observations pertaining to data or information explosion:
The concept of big data has been endemic within computer science since the earliest days of computing. “Big Data” originally meant the volume of data that could not be processed (efficiently) by traditional database methods and tools.
In a broad term Big data can be describe as a data sets which is so large or complex that can not be handle by traditional data processing applications. More especially unstructured or semi-structured data.
The story of how data became big starts many years before the current buzz around big data.The history of Big Data as a term may be brief – but many of the foundations it is built on were laid many years ago. Now, let’s look at a detailed account of the major milestones in the history of sizing data volumes in the evolution of the idea of “big data” and observations pertaining to data or information explosion:
The concept of big data has been endemic within computer science since the earliest days of computing. “Big Data” originally meant the volume of data that could not be processed (efficiently) by traditional database methods and tools.
In a broad term Big data can be describe as a data sets which is so large or complex that can not be handle by traditional data processing applications. More especially unstructured or semi-structured data.
Big Data v. Small data - Rules to thumb for 2015Visart
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Do you work with data, or just like learning about it? Check out our blog on www.Visart.io for data stories and other resources.
Many believe Big Data is a brand new phenomenon. It isn't, it is part of an evolution that reaches far back history. Here are some of the key milestones in this development.
Sirris innovate2011 - Smart Products with smart data - introduction, Dr. Elen...Sirris
This lecture highlights current trends, challenges and opportunities related to the emergence of large amounts of data. It also presents Sirris’s recent research activities in this domain.
Linked Data Approach for Integration of Human Health & Environmental Data3 Round Stones
Best practices and platforms for access and reuse of scientific data and models. We explore a Linked Data approach for data integration, modeling and interoperability.
Delivered by Bernadette Hyland at EPA & Society of Toxicology Scientific Workshop titled: "Building for Better Decisions: Multi-scale Integration of Human Health and Environmental Data..
Delivered 8-May-2012 at EPA Research Triangle Park, NC USA.
As the time has grown the mankind has also grown in terms of technology, living standard, the way of keeping records. In the initial years the requirement of remembering information and keeping information intact for future use was very less. But as the human developed himself, the requirement of keeping information in an effective manner and in terms of capacity becomes a crucial issue to be resolved. To solve this problem several techniques came up in the meanwhile. And now when data capacity has no limit and humans doesn’t want the pattern of storage and processing to be a hurdle; BIG DATA came up as a rescue plan.The motive of writing this paper is to understand the storage pattern of data developed over the years.
As the time has grown the mankind has also grown in terms of technology,
living standard, the way of keeping records. In the initial years the
requirement of remembering information and keeping information intact
for future use was very less. But as the human developed himself, the
requirement of keeping information in an effective manner and in terms of
capacity becomes a crucial issue to be resolved. To solve this problem
several techniques came up in the meanwhile. And now when data capacity
has no limit and humans doesn’t want the pattern of storage and
processing to be a hurdle; BIG DATA came up as a rescue plan.The motive
of writing this paper is to understand the storage pattern of data
developed over the years.
JIMS IT Flash , a monthly newsletter-An Initiative by the students of IT Department, shares the knowledge to its readers about the latest IT Innovations, Technologies and News.Your suggestions, thoughts and comments about latest in IT are always welcome at itflash@jimsindia.org.
Visit Website : http://jimsindia.org/
Open Source Software for Digital Preservation Repositories : A SurveyIJCSES Journal
In the digital age, the amount of data produced is growing exponentially. Governments and institutions can no longer rely on old methods for storing data and passing on the knowledge to future generations. Digital data preservation is a mandatory issue that needs proper strategies and tools. With this awareness, efforts are being made to create and perfect software solutions capable of responding to the challenge of properly preserving digital information. This paper focuses on the state-of-the-art in open-source software solutions for the digital preservation and curation field used to assimilate and disseminate information to designated audiences. Eleven open source projects for digital preservation are surveyed in areas such as supported standards and protocols, strategies for preservation, methodologies for reporting, dynamic of development, targeted operating systems, multilingual support and open source license. Furthermore, five of these open
source projects, are further analysed, with focus on features deemed important for the area. Along open source solutions, the paper also briefly surveys the standards and protocols relevant for digital data preservation. The area of digital data preservation repositories has several open source solutions, which can form the base to overcome the challenges to reach mature and reliable digital data preservation.
Big Data v. Small data - Rules to thumb for 2015Visart
Open data, big data, small data - what's the difference? Do you work with data? Small and medium sized businesses are pressured to transform traditional practices into data-driven models. In this presentation, CEO, Ugur Kadakal explains the big data v. small data and the insights we can pull from each for better business intelligence.
Do you work with data, or just like learning about it? Check out our blog on www.Visart.io for data stories and other resources.
Many believe Big Data is a brand new phenomenon. It isn't, it is part of an evolution that reaches far back history. Here are some of the key milestones in this development.
Sirris innovate2011 - Smart Products with smart data - introduction, Dr. Elen...Sirris
This lecture highlights current trends, challenges and opportunities related to the emergence of large amounts of data. It also presents Sirris’s recent research activities in this domain.
Linked Data Approach for Integration of Human Health & Environmental Data3 Round Stones
Best practices and platforms for access and reuse of scientific data and models. We explore a Linked Data approach for data integration, modeling and interoperability.
Delivered by Bernadette Hyland at EPA & Society of Toxicology Scientific Workshop titled: "Building for Better Decisions: Multi-scale Integration of Human Health and Environmental Data..
Delivered 8-May-2012 at EPA Research Triangle Park, NC USA.
As the time has grown the mankind has also grown in terms of technology, living standard, the way of keeping records. In the initial years the requirement of remembering information and keeping information intact for future use was very less. But as the human developed himself, the requirement of keeping information in an effective manner and in terms of capacity becomes a crucial issue to be resolved. To solve this problem several techniques came up in the meanwhile. And now when data capacity has no limit and humans doesn’t want the pattern of storage and processing to be a hurdle; BIG DATA came up as a rescue plan.The motive of writing this paper is to understand the storage pattern of data developed over the years.
As the time has grown the mankind has also grown in terms of technology,
living standard, the way of keeping records. In the initial years the
requirement of remembering information and keeping information intact
for future use was very less. But as the human developed himself, the
requirement of keeping information in an effective manner and in terms of
capacity becomes a crucial issue to be resolved. To solve this problem
several techniques came up in the meanwhile. And now when data capacity
has no limit and humans doesn’t want the pattern of storage and
processing to be a hurdle; BIG DATA came up as a rescue plan.The motive
of writing this paper is to understand the storage pattern of data
developed over the years.
JIMS IT Flash , a monthly newsletter-An Initiative by the students of IT Department, shares the knowledge to its readers about the latest IT Innovations, Technologies and News.Your suggestions, thoughts and comments about latest in IT are always welcome at itflash@jimsindia.org.
Visit Website : http://jimsindia.org/
Open Source Software for Digital Preservation Repositories : A SurveyIJCSES Journal
In the digital age, the amount of data produced is growing exponentially. Governments and institutions can no longer rely on old methods for storing data and passing on the knowledge to future generations. Digital data preservation is a mandatory issue that needs proper strategies and tools. With this awareness, efforts are being made to create and perfect software solutions capable of responding to the challenge of properly preserving digital information. This paper focuses on the state-of-the-art in open-source software solutions for the digital preservation and curation field used to assimilate and disseminate information to designated audiences. Eleven open source projects for digital preservation are surveyed in areas such as supported standards and protocols, strategies for preservation, methodologies for reporting, dynamic of development, targeted operating systems, multilingual support and open source license. Furthermore, five of these open
source projects, are further analysed, with focus on features deemed important for the area. Along open source solutions, the paper also briefly surveys the standards and protocols relevant for digital data preservation. The area of digital data preservation repositories has several open source solutions, which can form the base to overcome the challenges to reach mature and reliable digital data preservation.
Open Source Software for Digital Preservation Repositories : A SurveyIJCSES Journal
In the digital age, the amount of data produced is growing exponentially. Governments and institutions can no longer rely on old methods for storing data and passing on the knowledge to future generations. Digital data preservation is a mandatory issue that needs proper strategies and tools. With this awareness, efforts are being made to create and perfect software solutions capable of responding to the challenge of properly preserving digital information. This paper focuses on the state-of-the-art in open-source software solutions for the digital preservation and curation field used to assimilate and disseminate information to designated audiences. Eleven open source projects for digital preservation are surveyed in areas such as supported standards and protocols, strategies for preservation, methodologies for reporting, dynamic of development, targeted operating systems, multilingual support and open source license. Furthermore, five of these open
source projects, are further analysed, with focus on features deemed important for the area. Along open source solutions, the paper also briefly surveys the standards and protocols relevant for digital data preservation. The area of digital data preservation repositories has several open source solutions, which can form the base to overcome the challenges to reach mature and reliable digital data preservation.
Opening Keynote: From where we are to where we want to be: The future of resource discovery from a UK perspective
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Ver registro completo en: http://sedici.unlp.edu.ar/handle/10915/5526
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Presentation for the Economic and Social Research Council North West Social Sciences Doctoral Training Partnership event on 26th November 2021, by Stella Wisdom, Digital Curator, British Library
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There still remains a certain misunderstanding by the very definition of "big data" and the perceived hype around the term. This workshop clarified the concepts and give examples of relevant big data projects.
Cultural Heritage Insitutions and Big Data Collectionslljohnston
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Knowledge is dynamic and continuous. Our curiosity makes us to think more and more about certain problems and improve our knowledge in that area.
The totality of subjects is called “Universe Of Subjects”. Sometimes, we also use the word universe of knowledge, by which we mean that total knowledge available to humanity at any particular point of time....
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In any sphere of life, practice precedes theory. Life force stimulates man to improvise, design, and develop various aids - both at the physical and mental levels.
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In Library Classification System, Many Classification Schemes were emereged.Among them, some are very very important. they were explained well in this PPT. Dr.M.Anjaiah
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paper-II; management of Library and Information system, as per the UGC curriculam.
It is prepared in a lucier manner.
This Topic is very useful for all types of Cometetive Examiations of Library Science Students communiy.
use nd benefit ffor your bright future..Dr.Anjaiah M
UDC is a kind of more used library classification is in the world, to classify all types of documents in public, academic, special, national and other libraries.
Today, the libraries need to change its services, by using the ICT technologies. The Libraries need to Provide its ICT Services By using DRONE and Mobile Library lending SERICES AT USERS` HOME. THESE SERVICES ARE AVAILABLE IN SOME FOREIGN COUNTRIES..Dr.M.Anjaiah
Dr. S.vijaya vardhini & Dr.M Anajiah, Asst.Professors, Dravidain University, Kuppam were presented a PPT presentation on New Education Policy on 19.7.2017
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
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Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
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Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Instructions for Submissions thorugh G- Classroom.pptx
WORLD CAT AS BIG DATA
1. WorldCat As Big Data in
Library and Information
centers
Date: 16-03-2017
1
BY
ANJAIAHMOTHUKURI
Assistant Professor
Dept. of Library and Information
Science
DRAVIDIAN UNIVERSITY-KUPPAM
9908694950
E-mail:anjaiahlib@gmail.com
2. LAYOUT OF THE PAPER
2
Introduction
Meaning of Big data
Definitions of Big Data
Concept of big Data & History
Term of the Big Data
Characteristics of Big Data & The Haddop
Applications
WorldCat-Meaning
OCLC-Role in WorldCat
Conclusion
Suggestions
3. INTRODUCTION
3 Big data is one of the most popular terms these days.
The hospitals, manufacturers, colleges/universities,
banks, retailers and governments are all collecting those
so called “big data”. Libraries are also doing it. Of
course, the ultimate goal for doing this is to use these
data to provide new useful services or to improve
efficiency.
Since 2012, nearly every sector has developed a
fascination with the seemingly new discovery of Big
Data and its unprecedented capabilities to fuel analytic
breakthroughs.
Extremely large data sets that may be analysed
computationally to reveal patterns, trends, and
associations, especially relating to human behaviour and
interactions.
4. INTRODUCTION
4
The `Big Data` is being increasingly used almost
everywhere on the planet – online and offline.
And it is not related to computers only. It comes
under a blanket term called Information
Technology, which is now part of almost all other
technologies and fields of studies and
businesses. Big Data is not a big deal.
It is clear that the use of Big Data as an
information resource will continue to become
more prevalent as it is employed in academic
research and data-driven decision making, and
even emerges as a vehicle for government
transparency.
5. Meaning of Big Data:
Big data means really a
big data; it is a collection
of large datasets that
cannot be processed
using traditional
computing techniques.
Big data is not merely a
data, rather it has
become a complete
subject, which involves
various tools, techniques
and frameworks.
5
6. The Term“Big Data”& Definition
6
The term ‘data’ is not new to us. It is one of the primary
things taught when you opt for Information Technology
and computers.
If you can recall, data is considered the raw form of
Information. Though already there for a decade, the
term Big Data is a buzz these days.
As evident from the term, loads and loads of data, is Big
Data and it can be processed in different ways using
different methods and tools to procure required
information.
Big Data Defined as innovative techniques and
technologies to capture, store, distribute, manage and
analyze datasets that traditional data management
methods are unable to handle.
Doug Laney, a pioneer in the field of data warehousing
7. Concept of big Data &
History
7
Big data first time defined by Laney -2001
The word Big Data has launched a veritable
industry of processes, personnel and technology
to support what appears to be an exploding new
field.
Giant companies like Amazon and Wal-Mart as
well as bodies such as the U.S. government and
NASA are using Big Data to meet their business
and/or strategic objectives.
Big data can also play a role for small or medium-
sized companies and organizations that recognize
the possibilities to capitalize upon the gains.
8. Concept of big Data & History…
conti..
8
On August, 2013 by Mark
van Rijmenam added
"veracity, variability,
visualization, and value" to
the definition, broadening
the realm even further.
Rijmenam stated "90% of all
data ever created, was
created in the past two
years. From now on, the
amount of data in the world
will double every two years."
9. The Big Data-Its Characters-3Vs/5Vs
9
As per the Rob Kitchen, the characteristics are:
volume: Manage extremely large and growing source
(it’s called “big” for a reason),
velocity (it’s-time or close created to it), in real
variety (capturing many kinds of data, both
structured and unstructured),
exhaustive (trying to capture entire populations or
systems),
fine-grained (extremely detailed),
relational (connectable to other datasets
Flexible
10. VOLUME:
10 As the size of collection volumes and the
number of collection attributes increase, it
could allow us to more rapidly extract and
subsequently analyze patterns buried in the
data.
The so called “big data” in library could be
used in many ways, such as improving
usability, helping users to find the interesting
patterns they need.
In general, the data stored in library certainly
can be classified as large since it has hundred
years of collections on one hand, contains
tens of small research data as well and the
data captured during users using the library
11. VELOCITY:
11
The velocity characteristics of big data could also be
found in the data from library.
Library maintains multiple copies of files on servers
and on tape, in geographically distributed locations.
Therefore, there are movements of files between and
within organizations.
There are more and more researches going on and
the research data come in and join the dataset
dynamically.
On the other hand, the library data need to be
processed fast so that researchers could use it with
value and ordinary users could receive the search
results they need right away.
12. VARIETY:
12
In general, libraries contain different types of
data: books, journals, reports, notes, maps,
films, pictures, audios etc.
Some are unstructured. Unstructured data
consists of language-based data (e.g., notes,
twitter messages, books) and non-language-
based data (e.g., pictures, slides, audios,
videos).
Even for digital research data, they have every
imaginable shape and form, from scans of
historical negative photographs to digital
microscope images of unicellular organisms
taken hundreds at a time at varying depths of
15. Need & Use of Big Data
15
Due to the advent of new
technologies, devices, and
communication means like social
networking sites, the amount of data
produced by mankind is growing
rapidly every year.
The amount of data produced by us
from the beginning of time till 2003
was 5 billion gigabytes
16. 16
The same amount was created in
every two days in 2011, and in every
ten minutes in 2013. This rate is still
growing enormously.
Though all this information produced
is meaningful and can be useful
when processed, it is being
neglected.
90% of the world’s data was
generated in the last few years.
21. Online Computer Library Center-
OCLC
21
It was founded in 1967 as the Ohio College
Library Center.
The Online Computer Library Center (OCLC) is
a US-based Non-Profit Co-Operative
Organization dedicated to the public purposes of
furthering access to the world's information and
reducing information costs".
OCLC and its member libraries cooperatively
produce and maintain WorldCat, the largest
Online public catalogue (OPAC) in the world.
22. OCLC..conti….
22
OCLC is funded mainly by the fees that libraries
have to pay for its services (around $200 million
annually as of 2016).
OCLC libraries collectively steward a vast
quantity of knowledge. Working together, we
make this information more visible and
accessible to end users.
This sharing of ideas creates connections both
inside and outside the library community.
It unites thinkers and doers around common
purposes. And it helps researchers and
learners achieve their goals by putting the
world’s knowledge in reach.
26. OCLC LIBBRARIES
26
OCLC libraries collectively steward a vast
quantity of knowledge. Working together, we
make this information more visible and
accessible to end users. This sharing of ideas
creates connections both inside and outside
the library community.
It unites thinkers and doers around common
purposes. And it helps researchers and
learners achieve their goals by putting the
world’s knowledge in reach.
27. WorldCat-As-Big Data
27
WorldCat-Meaning:
WorldCat is the world's largest network of
library content and services. WorldCat libraries
are dedicated to providing access to their
resources on the Web,
where most people start their search for
information.
WorldCat is the world’s most comprehensive
database of information about library
collections.
Libraries co-operatively contribute, enhance
and share bibliographic data through
WorldCat, connecting people to cultural and
scholarly resources in libraries worldwide.
28. Rich Collections of WorldCat
28
WorldCat is a union catalog that itemises the
collections of 72,000 libraries in 170 countries and
territories that participate in the Online Computer
Library Center (OCLC) global cooperative.
It is operated by OCLC Online Computer Library
Center, Inc. The subscribing member libraries
collectively maintain WorldCat's database.
The library collections have a close tie to the
linked data which forms larger web of big data.
British library studied the linked data of library
collections and tried to model the people, events,
places which are related to holdings in the library.
The library could collect the data that users
search or use the library data, and such data
certainly could have a volume similar to that of
Twitter and others.
29. WorldCat- Available Products
&Services on the Web
29
WorldCat Discovery Services
WorldShare Management Services
WorldShare Metadata Services
WorldShare Interlibrary Loan
OCLC Cataloging Subscription
EZproxy
Dewey Services
ILLiad
CONTENTdm
All products and services
30. TYPES OF LIBRARIES: WorldCat
30
Libraries of all types from all
over the world contribute to
the quantity and quality of
WorldCat records, so the
records shared here
represent many diverse
interests.
Every library, museum or
archive that contributes
metadata to WorldCat,
including through a group,
receives the membership
benefits of the OCLC
cooperative.
31. Academic & National Libraries
31
Academic libraries- support students and
faculty with specialized research on a wide
variety of topics. They contribute records to
WorldCat for these resources and their unique
holdings, such as dissertations, theses,
published research papers and often the data
sets that support that research.
National libraries all over the world share their
collections through WorldCat. This allows
libraries everywhere to connect people with
information about many cultures and national
identities.
32. Public & Special Libraries
32 Public libraries form the centerpiece of their
communities by providing a wide variety of
services and by archiving local history and
genealogical resources. By cataloging their
materials in WorldCat, public libraries connect
people around the world with resources for job
searches, school science projects, book clubs,
cooking and many other topics.
Special libraries support distinct organizations,
such as a government office, church, corporation,
hospital, museum or research center. These
libraries contribute incredibly deep collections to
WorldCat on very specific topics that are
33. HOWTO WORKBIG DATA IN LIBRARIES
33
Work about big data in library could also be found
because library data need to be transformed into
information or knowledge which then be used by
users.
Bell tried to explore the issues and possibility of
big data in library
Parry studied how colleges are using big data to
help students chose classes, retain them, and
provided necessary advising.
The government initiatives on work of big data for
libraries and the impact on the library collections
have been discussed by Schwartz.
34. OCLC-Quality Team-
OCLC staff improves WorldCat Every Day:
34 500 IT professionals workat OCLC across a
variety of programming environments, systems
responsibilities and product portfolios.
The staff members with 30+ years of technology
expertise alongside new professionals, all focused
on delivering excellence.
The WorldCat Quality Team maintains and
monitors Duplicate Detection and Resolution
(DDR) software, which processes WorldCat
records to identify and merge duplicates. DDR
software scans existing WorldCat records and
identifies duplicates.
Records merged annually by the WorldCat Quality
Team:668,074 (July 2015–June 2016)
Duplicates removed by DDR software since May
2009:21,485,921 (as of February 2017)
35. conti….
35
Affelt described how traditional library skill sets
could match up to the needs of data analysis and
discussed big data technology for library and how
librarians could use it.
Reinhalterand Wittmann mentioned that
librarians could fill a service gap by enforcing
standards and best practices in the big-data era
because they could create trustworthy data
repositories for researchers.
ProQuest tried to understand the behavior of
library users such as how to perform search, by
using big data technology. They mentioned their
work could help to develop some search services
36. CONCLUSION
36
We live in an era of Big Data, in which we are
able to collect and analyze data at a speed and
scale that is unprecedented.
Academic libraries face many new challenges in
an era of Big Data. They will be called upon to
support the use and preservation of data as an
increasingly valuable piece of our knowledge
ecosystem, which will require developing new
library programs and skill sets.
The Big Data is very much useful to the users as
well as administers to evolve policies forthe
development of nation.
37. SUGGESSTONS
37 As we know well, In this Information Age/Digital
Age or Tech-Age, The Library and Information
centers are playing a pivotal role in every field of
knowledge.
So, the governments, especially in India, The
central Government should be take immediate
steps to digitize the ALL TYPES OF LIBRARY
RESOURCES from all libraries and Create a BIG
DATA BASE and Come with MoU with all Indian
and some reputed international VENDORS and
acquire current as well as needed material as well
in western countries.
Then, our Nation Will Become MOST
STRONGEST COUNTRY IN THE WORLD.