SlideShare ist ein Scribd-Unternehmen logo
1 von 42
DATA CENTRES AND
REFERRAL CENTRES
MLIB-Paper VIII- Data Centres and Referral Centres-Lecture 2-By-
Dr Sonal Singh
INTRODUCTION
 Society has undergone changes from Agricultural to
Industrial and then to knowledge society.
 Accordingly, information institutions are also modifying
themselves to serve the changing society.
 Some of the popular categories of information institutions
are, Libraries, Documentation Centres, Information
Analysis Centres, Data Centres, Referral Centres, etc.
DATA CENTRES
 As the name suggests, Data Centre is a type of
information institution which is concern with the
collection and dissemination of data.
 The modern society is very much in need of data for
various human progress activities like planning,
development, decision making, etc.
 Data centres perform gathering, compilation, processing,
evaluation and dissemination of data, not only in the field
of Science and Technology, but also in various subject
fields.
DATA CENTRES
 Data Centres are devoted only to the storage of data and
to make it available as and when required.
 Data centres are one of the essential information
institutions which deals with organised data compilation
activities from gathering , processing, evaluation and
dissemination.
 Data centre is an organisation which handles “quantitative
numerical data.”
 It is also considered as a special information centre.
DATA
 Data precisely is numerical , factual , alphabetical or graphic
and one dimensional.
 Data is unprocessed information. It is also termed as ‘raw
information.’
 The data may be described as a discrete and unorganised piece
of information.
 It is also defined as groups of non-random symbols, consisting of
quantities, action objects, etc.
 Research depends on easy availability of earlier research data.
DATA
 Data must be collected , processed and organised for its
better utilization.
 Data may be of different categories such as: Scientific
data, Technical data, Techno-economic data, Business
data, Industrial data, Manpower data, Socio-economic
data, demographic date, etc.
 Data generally collected through observation and surveys
are required to be stored for future use.
 The institutions developed for this purpose are known as
data centre.
DATA CENTRES AND DATA BANK
 The terms Data centres and Data banks are used
synonymously but they vary in regard to the subject they
deal with and also the type of data they handle.
 Data centres handle only numerical data pertaining to
Science and Technology primarily with physical and
chemical properties.
 Data banks are multidisciplinary and handle all types of
data comprising administrative, statistical , techno-
economic, census, management subjects which are
produced by various institutions and agencies.
DATA CENTRES AND DATA BANK
cont……….
 Data centres handle data themselves and also the
literature concerning them whereas data banks handle
only data.
 Data centres store data related to narrow field of
specialization.
 Any institution interested in developing data handling
capacities may be called data centre.
STRUCTURE OF DATA CENTRE
 The data centre generally includes three major
components :
 1. An organised data collection (i.e. database);
 2. A connection with the data sources which periodically
update the database.
 3. The users who are in direct interaction with the
database to meet their requirements.
FUNCTIONS OF DATA CENTRE
 Three main functions of data centre are-
 1. Data compilation- The generated data should be compiled to
put it to use . It involves collection , correction and grouping.
 2. Evaluation- The data collected are evaluated by other users
for its utility.
 3. Dissemination- data disseminated to prevent duplication.
BASIC PRINCIPLES Of
ORGANISATION OF DATA CENTRE
 1. Data received and collected from different documents by a
group of specialists who decide the importance and relevance
of data , control and fit them with the generator source.
 2.The received data are organised as basic data for their
further use in initial form.
 3.data converted into machine readable form and structured
into a database for computer processing.
DATA CENTRE- PERSONNEL
 For accomplishing various functions efficiently, a data
centre should be equipped with suitably trained
manpower.
 Data centre employs following different categories of
personnel-
 i) Data Coordinators.
 ii) Data Specialists.
 iii) Data Analysts.
 iv) Programmers.
DATA SERVICES OF DATA CENTRE
 The data centre is expected to provide two basic types of
services-
 i- answer user queries,
 ii- supply the processed/synthesised data . This data is
processed from basic data.
 The data services may be provided on demand or on
anticipatory basis.
 The data centre collects, processes data for its
dissemination to answer the user queries.
DATA CENTRES : TYPES AND LEVELS
 Data centres vary both in scope and size.
 A data centre can be established at Local, Regional,
National and International level.
 The data services either exclusively offered by three
different data centres, or collectively by one or two
centres of the following types-
 1. Data Evaluation Centre (DEC)- includes organisation
which generate critical data systems . Its basic function is
to compile, process and to evaluate data in a specialised
area . These are one or two only for each country.
DATA CENTRES : TYPES AND LEVELS
 2.1- Data Dissemination Centre (Local) (DDC)-These are
established at the local level and cover a wide subject
area. These are also a part and parcel of DECs. The user
gets the data from Dec through local-DDC or sometimes
directly from DECs. It offers following services-
-offer references from collected published compilations.
-services from stored /collected machine readable data.
-assisting user in data finding .
-publish secondary publications on data.
DATA CENTRES : TYPES AND LEVELS
 2.2- Data Dissemination Centre (Global) (DDC)-These are
established at Global level. It is highly specialised in
subject matter and responds only to such information to
readers.
 It stores all output products of Data Evaluation Centre in
the respective field.
 It disseminates data on user’s request.
 It provides necessary information to a Data Referral
Centre (DRC).
DATA CENTRES : TYPES AND LEVELS
 3. - Data Referral Centre (Global) (DDC)-There can only
be a single DRC established at Global Level. This serves
the users through out the world.
 It collects world wide information on data resources.
 Prepare comprehensive file with detailed subject index
for data access.
 Refer users to appropriate sources.
CODATA- Committee on Data for
Science and Technology
 As data can be used by different agencies in different
forms, it was considered as collective effort.
 Many academic and research institutions, Government
institutions and also international institutions started
participating in this activity.
 In 1963, National Standard Reference Data System (NSRDS)
was established in USA.
 Data compilation activities also started in other countries
like France, Japan, Germany, UK.
CODATA-
cont……….
 Though many countries started participating in data
compilation activities, yet coordination part was missing
among various data compilation and data gathering
activities located globally.
 A need of central agency was felt which can coordinate
and share its activities with other countries.
 In 1966, International Council of Scientific Union (ICSU)
created CODATA to promote and encourage compilation,
evaluation and dissemination of reliable numerical data.
CODATA-
cont……….
 CODATA provides Scientists and Engineers with access to
international data activities for increased awareness, direct
cooperation and new knowledge.
 OBJECTIVES-
 To improve quality and accessibility of data.
 To improve the methods of data acquisition, management,
analysis and evaluation.
 To facilitate international cooperation among institutions
participating in collection, organisation and use.
 Promoting increasing awareness for participation in these
activities.
CODATA-
cont……….
 PUBLICATIONS-
 CODATA Newsletter- announces publication of current data
compilations, with comments, contents and accessibility.
 CODATA Bulletins.
 CODATA Directories of Data sources.
 CODATA Referral Database.
INTERNATIONAL DATA CENTRES
 1. NASA Astronomical Data Centre (ADC)- publishes
astronomical data and journal tables.
 INTERNATION CENTRE FOR DIFFRACTION DATA (ICDD)- It
is a non-profit Scientific and Technical organisation. It has
world wide membership from academics, Government and
industries. The centre is dedicated towards collection ,
storage, editing, publication and dissemination of data
pertaining to power diffraction for the identification of
crystalline materials. It has vision to encourage the use of
the Power Diffraction File (PDF) for phase identification of
crystalline materials.
NATIONAL DATA CENTRES
 India being the World’s second largest Scientific and
Technological base, contributes significantly in Research
and Development activities. Several institutions like,
Council of Scientific and Industrial Research (CSIR), Indian
Council of Medical Research (ICMR), Indian Council of
Agricultural research (ICAR),Indian Space Research
Organisation (ISRO), Defence Research and Development
Organisation (DRDO) and many other academic and
research institutions are engaged in data generation and
compilation activities.
NATIONAL DATA CENTRES
cont…….
 1. ENVIRONMENTAL INFORMATION CENTRE- It is governed
by the Ministry of Environment and Forests. It provides
high quality environmental data and information on India
in a timely and cost-effective manner to improve
environmental studies, project screening and scoping and
the decision making process.
 2 NATIONAL THERMOPHYSICAL PROPERTIES PROGRAM- It
is located at Indian Institute of Science, Bangalore. It was
established by the Science and Research Council (SERC)
NATIONAL DATA CENTRES
cont…….
of the Department of Science and Technology (DST). The
basic function of the centre is to evaluate and collect data
pertaining to Thermophysical properties.
 3. National Crystal Data Centre (NCDT)- National
Information Centre on Crystallography (NICRYS) was
established in 1982 at Department of Crystallography and
Biophysics, University of Madras to serve National
Information System on Crystallography under National
Information Systems for Science and Technology (NISSAT)
Programme of Department of Scientific and Industrial
Research (DSIR), Government of India.
NATIONAL DATA CENTRES
cont…….
 4. National Marine Data Centres (NMIDCs)- It was
established by the Department of Ocean Development
(DOD), Government of India with the objectives of
developing efficient data handling and database
structures using state-of-the art strategies to exercise
stringent quality control on data.
REFERRAL CENTRES
 Referral Centres provide switching mechanisms among
different types of institutions.
 It serves as intermediary directing those who have
queries concerning scientific and technical subjects, to
organisations as well as individuals who are specialist in
concerned field and are willing to share that knowledge
with others.
 Referral centres provide guidance and assistance in
solving the information problems of the user community
regarding appropriate information.
REFERRAL CENTRES- DEFINITIONS
 1. Referral Centre is an organisation for directing
researchers for information and data to appropriate
sources such as, libraries , information centres, evaluation
centres, documents and documentation centres and
individuals. A referral centre does not supply data or
documents.
-Harrod’s Librarian’s Glossary
 It is like “Information Desk” which does not directly
provides information but suggests sources likeky to satisfy
enquirers.
REFERRAL CENTRES-
NEED AND PURPOSE
 The basic purpose is to ease the stress on a single
information system which is being loaded with all
services. Libraries are integral and fundamental
components of the information network system. They are
unable to handle the dynamic needs of users which some
times fall outside the contents of documents alone . Due
to information bulk, timely importance of current
information and also evaluation factor, referral centres
became the utmost need to take guidance of experts.
REFERRAL CENTRES-FUNCTIONS
 To collect world wide information about information/data
sources within the subject or mission.
 To prepare a comprehensive inventory of the types of
information/data services available form these sources
with a detailed subject index to facilitate its access.
 To guide users to appropriate sources where from the
required data or information may be obtained.
 To function as an intermediary between enquirer and the
organisation and/or individuals who possess specialised
knowledge.
REFERRAL CENTRES-
BASIC OPERATIONS
 A referral centre has to perform following basic
operations to achieve the objectives-
 A referral centre should possess an inventory of all
significant information resources in different disciplines.
 It should compile and publish directories of scientific and
technical information resources.
 A referral centre has to analyse the operating relationship
that exist in the scientific information complex.
INFORMATION RESOURCES FOR
REFERRAL CENTRES-
 For the purpose of referral centre, information resources
may be considered to include Professional Societies,
University Research Bureau and institutes, Government
agencies, libraries , Testing stations and individual experts
as well as more professional source of information such as
Technical libraries, Information and Documentation
Centres and abstracting and indexing services.
 A referral centre might receive request by letters, by
personal visits and through mobile/telephone. All the
information provided is noted to maintain a record of
information provided.
CLEARING HOUSES
 It is a central agency for collection, classification and
distribution of information.
 It may include specialised information centres as well as
conventional libraries.
 It represents a depository for documents with the additional
objective of serving as a central agency engaged in the
distribution of information.
 It also collects and maintains records of research and
development.
 Sometimes subjective questions in the record are referred to
source and clearing house may have to perform the function of
referral centre.
THE EDUCATIONAL RESEARCH
INFORMATION CENTRE (ERIC)
 ERIC also acts a resource centre and provides referral
service.
 It is an online digital library of education research and
information.
 ERIC is sponsored by the Institute of Educational Sciences
of the United States Department of Education.
 The mission of ERIC is to provide a comprehensive, easy-
to-use, searchable Internet-based bibliographic and full-
text database of education research and information for
educators, researchers and general public.
ACTIVITIES OF SOME NOTABLE
REFERRAL CENTRES
 1.National Referral Centre, Library of Congress-
 It was opened in 1963 as National Referral Centre for
Science and Technology . This referral centre of reference
department works closely with another division i.e..
Science and Technology Division of the Library of
congress.
 It is designed as a clearing house and provides
comprehensive coordinated access to the nation’s
resources of Science and Technical information.
NOTABLE REFERRAL CENTRES
Cont……
 It maintains an exhaustive inventory of significant
information.
 It has developed a very comprehensive “register of
Information sources ” of different kinds.
 The centre maintains a file of over Twelve Thousand
experts and uses it to provide information to the users.
 The sources contain details of names , addresses and
a brief description of information source.
NOTABLE REFERRAL CENTRES
Cont……
 2. International Referral service of UNEP-
 The United Nations Environmental Programme
(UNEP) has established International Referral Service,
for all sources of Environmental information.
 In every country, a national group provides details
about the information through various local centres.
NOTABLE REFERRAL CENTRES
Cont……
 3.The Science and Technology Referral Centre of Israel-
 It provides information relating to information services available
to or from other information centres of Israel.
 Collects and disseminates information from sources both in Israel
and abroad which are not available through commercial channels
or whose acquisition requires , national, international or
Governmental participation.
 Publishes Directories and other reference materials which are of
national and interdisciplinary interest.
NOTABLE REFERRAL CENTRES
Cont……
4.INRES-
 United Nations established UNDP (United Nations
Development Programme) to develop a better quality of
life through development programmes.
 UNDP developed the Global Information Referral System
(INRES) which provide comprehensive and up-to-date
information or skills and capabilities available in
developing countries . These skills and capabilities can be
utilised for Technical Cooperation among Developing
Countries (TCDC).
NOTABLE REFERRAL CENTRES
Cont……
 The INRES/TCDC has been engaged in creation of various
information sources to provide referral service .
 It published Two directories of services of TCDC in 1977
and 1978.
 INRES has also built up a database of new sources of
information about capabilities of different institutes from
various developing countries.

REFERRAL DATABASE
 1.DARE- International Social Science Directory
 First and the largest UNESCO Database.
 Contains world wide reference to research and training
institutions, specialists , course projects , documentation
and information services in the field of Social Sciences.
 2. CODATA Referral Database (CRD)
 3.EDUPLAN – Educational Planning Institution
 4.INISTE – Institutions specialised in education, in the area
of Science and Technology policies.
CONCLUSION
 Data Centre handles “quantitative numerical
data” for Science and Technology . Data Banks are
multidisciplinary and handle all types of data
comprising administrative, statistical ,techno-
economic, etc. Referral Centre is “Directional
Source” which directs to a source of information.
It provides a mechanism for switching to
information sources. Referral centres collects
information sources and guides users to
appropriate sources.

Weitere ähnliche Inhalte

Was ist angesagt?

AGRIS (agricultural information system)
AGRIS (agricultural information system)AGRIS (agricultural information system)
AGRIS (agricultural information system)Abid Fakhre Alam
 
User education in Libraries
User education in Libraries User education in Libraries
User education in Libraries Humayun Khan
 
ellis model of information seeking behaviour
ellis model of information seeking behaviourellis model of information seeking behaviour
ellis model of information seeking behaviournatashagandhi11
 
Institutional repository
Institutional repositoryInstitutional repository
Institutional repositorysaurabh kaushik
 
Knowledge Management in Libraries: an introduction
Knowledge Management in Libraries: an introductionKnowledge Management in Libraries: an introduction
Knowledge Management in Libraries: an introductionunulwbpartnership
 
Informetrics final
Informetrics finalInformetrics final
Informetrics finalAamir Abbas
 
SEARS LIST OF SUBJECT HEADING ppt
SEARS LIST OF SUBJECT HEADING pptSEARS LIST OF SUBJECT HEADING ppt
SEARS LIST OF SUBJECT HEADING pptUniversity of Delhi
 
Knowledge organization
Knowledge organizationKnowledge organization
Knowledge organizationEthel88
 
Relationship of information science with library science
Relationship of information science with library scienceRelationship of information science with library science
Relationship of information science with library scienceSadaf Batool
 
Impact Of Ict on libraries
Impact Of Ict on librariesImpact Of Ict on libraries
Impact Of Ict on librariesSrinivas Sambari
 
Current and emerging trends in library services
Current and emerging trends in library servicesCurrent and emerging trends in library services
Current and emerging trends in library servicesNikesh Narayanan
 
Interoperability Protocols and Standards in LIS
Interoperability Protocols and Standards in LISInteroperability Protocols and Standards in LIS
Interoperability Protocols and Standards in LISADINET Ahmedabad
 

Was ist angesagt? (20)

Structure of subject lit ppt
Structure of subject lit pptStructure of subject lit ppt
Structure of subject lit ppt
 
AGRIS (agricultural information system)
AGRIS (agricultural information system)AGRIS (agricultural information system)
AGRIS (agricultural information system)
 
User education in Libraries
User education in Libraries User education in Libraries
User education in Libraries
 
bibliometrics
bibliometricsbibliometrics
bibliometrics
 
Viniti
VinitiViniti
Viniti
 
ellis model of information seeking behaviour
ellis model of information seeking behaviourellis model of information seeking behaviour
ellis model of information seeking behaviour
 
Union Catalogues
Union CataloguesUnion Catalogues
Union Catalogues
 
Institutional repository
Institutional repositoryInstitutional repository
Institutional repository
 
Knowledge Management in Libraries: an introduction
Knowledge Management in Libraries: an introductionKnowledge Management in Libraries: an introduction
Knowledge Management in Libraries: an introduction
 
Informetrics final
Informetrics finalInformetrics final
Informetrics final
 
NISCAIR by Jaya Singh
NISCAIR by Jaya SinghNISCAIR by Jaya Singh
NISCAIR by Jaya Singh
 
SEARS LIST OF SUBJECT HEADING ppt
SEARS LIST OF SUBJECT HEADING pptSEARS LIST OF SUBJECT HEADING ppt
SEARS LIST OF SUBJECT HEADING ppt
 
Bibliography
BibliographyBibliography
Bibliography
 
CAS & SDI service
CAS & SDI serviceCAS & SDI service
CAS & SDI service
 
Knowledge organization
Knowledge organizationKnowledge organization
Knowledge organization
 
Relationship of information science with library science
Relationship of information science with library scienceRelationship of information science with library science
Relationship of information science with library science
 
Impact Of Ict on libraries
Impact Of Ict on librariesImpact Of Ict on libraries
Impact Of Ict on libraries
 
BIBLIOMETRICS LAWS
BIBLIOMETRICS LAWSBIBLIOMETRICS LAWS
BIBLIOMETRICS LAWS
 
Current and emerging trends in library services
Current and emerging trends in library servicesCurrent and emerging trends in library services
Current and emerging trends in library services
 
Interoperability Protocols and Standards in LIS
Interoperability Protocols and Standards in LISInteroperability Protocols and Standards in LIS
Interoperability Protocols and Standards in LIS
 

Ähnlich wie M.LIB_.-_Paper_VIII-_Data_Centre_and_Referral_Centre-lecture_2-Dr_Sonal_Singh.pptx

Data Warehouse: A Primer
Data Warehouse: A PrimerData Warehouse: A Primer
Data Warehouse: A PrimerIJRTEMJOURNAL
 
Data Mining – A Perspective Approach
Data Mining – A Perspective ApproachData Mining – A Perspective Approach
Data Mining – A Perspective ApproachIRJET Journal
 
Unit-1 -2-3- BDA PIET 6 AIDS.pptx
Unit-1 -2-3- BDA PIET 6 AIDS.pptxUnit-1 -2-3- BDA PIET 6 AIDS.pptx
Unit-1 -2-3- BDA PIET 6 AIDS.pptxYashiBatra1
 
Business Intelligence and Analytics Unit-2 part-A .pptx
Business Intelligence and Analytics Unit-2 part-A .pptxBusiness Intelligence and Analytics Unit-2 part-A .pptx
Business Intelligence and Analytics Unit-2 part-A .pptxRupaRani28
 
Managing and Sharing Research Data
Managing and Sharing Research DataManaging and Sharing Research Data
Managing and Sharing Research DataMartin Donnelly
 
CCS367-Storage-Technologies-Lecture-Notes-1.pdf
CCS367-Storage-Technologies-Lecture-Notes-1.pdfCCS367-Storage-Technologies-Lecture-Notes-1.pdf
CCS367-Storage-Technologies-Lecture-Notes-1.pdfDss
 
Data Mining – analyse Bank Marketing Data Set by WEKA.
Data Mining – analyse Bank Marketing Data Set by WEKA.Data Mining – analyse Bank Marketing Data Set by WEKA.
Data Mining – analyse Bank Marketing Data Set by WEKA.Mateusz Brzoska
 
BIG DATA IN CLOUD COMPUTING REVIEW AND OPPORTUNITIES
BIG DATA IN CLOUD COMPUTING REVIEW AND OPPORTUNITIESBIG DATA IN CLOUD COMPUTING REVIEW AND OPPORTUNITIES
BIG DATA IN CLOUD COMPUTING REVIEW AND OPPORTUNITIESijcsit
 
Big Data in Cloud Computing Review and Opportunities
Big Data in Cloud Computing Review and OpportunitiesBig Data in Cloud Computing Review and Opportunities
Big Data in Cloud Computing Review and OpportunitiesAIRCC Publishing Corporation
 
A SURVEY OF BIG DATA ANALYTICS
A SURVEY OF BIG DATA ANALYTICSA SURVEY OF BIG DATA ANALYTICS
A SURVEY OF BIG DATA ANALYTICSijistjournal
 
Towards a Community-driven Data Science Body of Knowledge – Data Management S...
Towards a Community-driven Data Science Body of Knowledge – Data Management S...Towards a Community-driven Data Science Body of Knowledge – Data Management S...
Towards a Community-driven Data Science Body of Knowledge – Data Management S...Research Data Alliance
 
IT_RFO10-14-ITS_AppendixA_20100513
IT_RFO10-14-ITS_AppendixA_20100513IT_RFO10-14-ITS_AppendixA_20100513
IT_RFO10-14-ITS_AppendixA_20100513Alexander Doré
 

Ähnlich wie M.LIB_.-_Paper_VIII-_Data_Centre_and_Referral_Centre-lecture_2-Dr_Sonal_Singh.pptx (20)

AIS 3 - EDITED.pdf
AIS 3 - EDITED.pdfAIS 3 - EDITED.pdf
AIS 3 - EDITED.pdf
 
Dm unit i r16
Dm unit i   r16Dm unit i   r16
Dm unit i r16
 
Information System.pptx
Information System.pptxInformation System.pptx
Information System.pptx
 
U - 2 Emerging.pptx
U - 2 Emerging.pptxU - 2 Emerging.pptx
U - 2 Emerging.pptx
 
Data Warehouse: A Primer
Data Warehouse: A PrimerData Warehouse: A Primer
Data Warehouse: A Primer
 
MARAT ANALYSIS
MARAT ANALYSISMARAT ANALYSIS
MARAT ANALYSIS
 
Data Mining – A Perspective Approach
Data Mining – A Perspective ApproachData Mining – A Perspective Approach
Data Mining – A Perspective Approach
 
Unit-1 -2-3- BDA PIET 6 AIDS.pptx
Unit-1 -2-3- BDA PIET 6 AIDS.pptxUnit-1 -2-3- BDA PIET 6 AIDS.pptx
Unit-1 -2-3- BDA PIET 6 AIDS.pptx
 
General concepts: DDI
General concepts: DDIGeneral concepts: DDI
General concepts: DDI
 
Business Intelligence and Analytics Unit-2 part-A .pptx
Business Intelligence and Analytics Unit-2 part-A .pptxBusiness Intelligence and Analytics Unit-2 part-A .pptx
Business Intelligence and Analytics Unit-2 part-A .pptx
 
Managing and Sharing Research Data
Managing and Sharing Research DataManaging and Sharing Research Data
Managing and Sharing Research Data
 
CCS367-Storage-Technologies-Lecture-Notes-1.pdf
CCS367-Storage-Technologies-Lecture-Notes-1.pdfCCS367-Storage-Technologies-Lecture-Notes-1.pdf
CCS367-Storage-Technologies-Lecture-Notes-1.pdf
 
Data Mining – analyse Bank Marketing Data Set by WEKA.
Data Mining – analyse Bank Marketing Data Set by WEKA.Data Mining – analyse Bank Marketing Data Set by WEKA.
Data Mining – analyse Bank Marketing Data Set by WEKA.
 
BIG DATA IN CLOUD COMPUTING REVIEW AND OPPORTUNITIES
BIG DATA IN CLOUD COMPUTING REVIEW AND OPPORTUNITIESBIG DATA IN CLOUD COMPUTING REVIEW AND OPPORTUNITIES
BIG DATA IN CLOUD COMPUTING REVIEW AND OPPORTUNITIES
 
Big Data in Cloud Computing Review and Opportunities
Big Data in Cloud Computing Review and OpportunitiesBig Data in Cloud Computing Review and Opportunities
Big Data in Cloud Computing Review and Opportunities
 
Abstract
AbstractAbstract
Abstract
 
A SURVEY OF BIG DATA ANALYTICS
A SURVEY OF BIG DATA ANALYTICSA SURVEY OF BIG DATA ANALYTICS
A SURVEY OF BIG DATA ANALYTICS
 
Towards a Community-driven Data Science Body of Knowledge – Data Management S...
Towards a Community-driven Data Science Body of Knowledge – Data Management S...Towards a Community-driven Data Science Body of Knowledge – Data Management S...
Towards a Community-driven Data Science Body of Knowledge – Data Management S...
 
Intro to RDM
Intro to RDMIntro to RDM
Intro to RDM
 
IT_RFO10-14-ITS_AppendixA_20100513
IT_RFO10-14-ITS_AppendixA_20100513IT_RFO10-14-ITS_AppendixA_20100513
IT_RFO10-14-ITS_AppendixA_20100513
 

Mehr von JosephIThomas

dEthical Issues in Research-1 Final.pptx
dEthical Issues in Research-1 Final.pptxdEthical Issues in Research-1 Final.pptx
dEthical Issues in Research-1 Final.pptxJosephIThomas
 
3 Formulas, Ranges, Functions.ppt
3 Formulas, Ranges, Functions.ppt3 Formulas, Ranges, Functions.ppt
3 Formulas, Ranges, Functions.pptJosephIThomas
 
Establishing A Centre of Excellence in IPR at Rajagiri College.ppsx
Establishing A Centre of Excellence in IPR at Rajagiri College.ppsxEstablishing A Centre of Excellence in IPR at Rajagiri College.ppsx
Establishing A Centre of Excellence in IPR at Rajagiri College.ppsxJosephIThomas
 
University Library Services during covid 19.pptx
University Library Services during covid 19.pptxUniversity Library Services during covid 19.pptx
University Library Services during covid 19.pptxJosephIThomas
 
national social science documentation centren.pptx
national social science documentation centren.pptxnational social science documentation centren.pptx
national social science documentation centren.pptxJosephIThomas
 
national social science documentation centre nassdoc.pdf
national social science documentation centre nassdoc.pdfnational social science documentation centre nassdoc.pdf
national social science documentation centre nassdoc.pdfJosephIThomas
 
4 Clearing houses, Translation centres and Reprographic centres.pptx
4 Clearing houses, Translation centres and Reprographic centres.pptx4 Clearing houses, Translation centres and Reprographic centres.pptx
4 Clearing houses, Translation centres and Reprographic centres.pptxJosephIThomas
 
History and Development of Libraries.pptx
History and Development of Libraries.pptxHistory and Development of Libraries.pptx
History and Development of Libraries.pptxJosephIThomas
 
Types of Cyber Harassment and Legal Provisions.pptx
Types of Cyber Harassment and Legal Provisions.pptxTypes of Cyber Harassment and Legal Provisions.pptx
Types of Cyber Harassment and Legal Provisions.pptxJosephIThomas
 
Open Access Resources in Law - Alagappa conference 2023.pptx
Open Access Resources in Law - Alagappa conference 2023.pptxOpen Access Resources in Law - Alagappa conference 2023.pptx
Open Access Resources in Law - Alagappa conference 2023.pptxJosephIThomas
 
Areas of application.pptx
Areas of application.pptxAreas of application.pptx
Areas of application.pptxJosephIThomas
 
Career Option for Library and Information Science.pptx
Career Option for Library and Information Science.pptxCareer Option for Library and Information Science.pptx
Career Option for Library and Information Science.pptxJosephIThomas
 

Mehr von JosephIThomas (14)

dEthical Issues in Research-1 Final.pptx
dEthical Issues in Research-1 Final.pptxdEthical Issues in Research-1 Final.pptx
dEthical Issues in Research-1 Final.pptx
 
3 Formulas, Ranges, Functions.ppt
3 Formulas, Ranges, Functions.ppt3 Formulas, Ranges, Functions.ppt
3 Formulas, Ranges, Functions.ppt
 
Establishing A Centre of Excellence in IPR at Rajagiri College.ppsx
Establishing A Centre of Excellence in IPR at Rajagiri College.ppsxEstablishing A Centre of Excellence in IPR at Rajagiri College.ppsx
Establishing A Centre of Excellence in IPR at Rajagiri College.ppsx
 
University Library Services during covid 19.pptx
University Library Services during covid 19.pptxUniversity Library Services during covid 19.pptx
University Library Services during covid 19.pptx
 
national social science documentation centren.pptx
national social science documentation centren.pptxnational social science documentation centren.pptx
national social science documentation centren.pptx
 
Wiki Tutorial.ppt
Wiki Tutorial.pptWiki Tutorial.ppt
Wiki Tutorial.ppt
 
national social science documentation centre nassdoc.pdf
national social science documentation centre nassdoc.pdfnational social science documentation centre nassdoc.pdf
national social science documentation centre nassdoc.pdf
 
4 Clearing houses, Translation centres and Reprographic centres.pptx
4 Clearing houses, Translation centres and Reprographic centres.pptx4 Clearing houses, Translation centres and Reprographic centres.pptx
4 Clearing houses, Translation centres and Reprographic centres.pptx
 
Whats IEEE
Whats IEEEWhats IEEE
Whats IEEE
 
History and Development of Libraries.pptx
History and Development of Libraries.pptxHistory and Development of Libraries.pptx
History and Development of Libraries.pptx
 
Types of Cyber Harassment and Legal Provisions.pptx
Types of Cyber Harassment and Legal Provisions.pptxTypes of Cyber Harassment and Legal Provisions.pptx
Types of Cyber Harassment and Legal Provisions.pptx
 
Open Access Resources in Law - Alagappa conference 2023.pptx
Open Access Resources in Law - Alagappa conference 2023.pptxOpen Access Resources in Law - Alagappa conference 2023.pptx
Open Access Resources in Law - Alagappa conference 2023.pptx
 
Areas of application.pptx
Areas of application.pptxAreas of application.pptx
Areas of application.pptx
 
Career Option for Library and Information Science.pptx
Career Option for Library and Information Science.pptxCareer Option for Library and Information Science.pptx
Career Option for Library and Information Science.pptx
 

Kürzlich hochgeladen

Capstone Project on IBM Data Analytics Program
Capstone Project on IBM Data Analytics ProgramCapstone Project on IBM Data Analytics Program
Capstone Project on IBM Data Analytics ProgramMoniSankarHazra
 
Accredited-Transport-Cooperatives-Jan-2021-Web.pdf
Accredited-Transport-Cooperatives-Jan-2021-Web.pdfAccredited-Transport-Cooperatives-Jan-2021-Web.pdf
Accredited-Transport-Cooperatives-Jan-2021-Web.pdfadriantubila
 
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Callshivangimorya083
 
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Callshivangimorya083
 
Invezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signalsInvezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signalsInvezz1
 
Ravak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptxRavak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptxolyaivanovalion
 
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...Delhi Call girls
 
April 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's AnalysisApril 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's Analysismanisha194592
 
Log Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxLog Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxJohnnyPlasten
 
Vip Model Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
Vip Model  Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...Vip Model  Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
Vip Model Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...shivangimorya083
 
BabyOno dropshipping via API with DroFx.pptx
BabyOno dropshipping via API with DroFx.pptxBabyOno dropshipping via API with DroFx.pptx
BabyOno dropshipping via API with DroFx.pptxolyaivanovalion
 
Week-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interactionWeek-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interactionfulawalesam
 
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130Suhani Kapoor
 
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Delhi Call girls
 
VidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxVidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxolyaivanovalion
 
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...amitlee9823
 
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Serviceranjana rawat
 
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al BarshaAl Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al BarshaAroojKhan71
 
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptxBPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptxMohammedJunaid861692
 
100-Concepts-of-AI by Anupama Kate .pptx
100-Concepts-of-AI by Anupama Kate .pptx100-Concepts-of-AI by Anupama Kate .pptx
100-Concepts-of-AI by Anupama Kate .pptxAnupama Kate
 

Kürzlich hochgeladen (20)

Capstone Project on IBM Data Analytics Program
Capstone Project on IBM Data Analytics ProgramCapstone Project on IBM Data Analytics Program
Capstone Project on IBM Data Analytics Program
 
Accredited-Transport-Cooperatives-Jan-2021-Web.pdf
Accredited-Transport-Cooperatives-Jan-2021-Web.pdfAccredited-Transport-Cooperatives-Jan-2021-Web.pdf
Accredited-Transport-Cooperatives-Jan-2021-Web.pdf
 
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
 
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
 
Invezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signalsInvezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signals
 
Ravak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptxRavak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptx
 
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
 
April 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's AnalysisApril 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's Analysis
 
Log Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxLog Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptx
 
Vip Model Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
Vip Model  Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...Vip Model  Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
Vip Model Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
 
BabyOno dropshipping via API with DroFx.pptx
BabyOno dropshipping via API with DroFx.pptxBabyOno dropshipping via API with DroFx.pptx
BabyOno dropshipping via API with DroFx.pptx
 
Week-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interactionWeek-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interaction
 
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
 
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
 
VidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxVidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptx
 
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
 
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
 
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al BarshaAl Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
 
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptxBPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
 
100-Concepts-of-AI by Anupama Kate .pptx
100-Concepts-of-AI by Anupama Kate .pptx100-Concepts-of-AI by Anupama Kate .pptx
100-Concepts-of-AI by Anupama Kate .pptx
 

M.LIB_.-_Paper_VIII-_Data_Centre_and_Referral_Centre-lecture_2-Dr_Sonal_Singh.pptx

  • 1. DATA CENTRES AND REFERRAL CENTRES MLIB-Paper VIII- Data Centres and Referral Centres-Lecture 2-By- Dr Sonal Singh
  • 2. INTRODUCTION  Society has undergone changes from Agricultural to Industrial and then to knowledge society.  Accordingly, information institutions are also modifying themselves to serve the changing society.  Some of the popular categories of information institutions are, Libraries, Documentation Centres, Information Analysis Centres, Data Centres, Referral Centres, etc.
  • 3. DATA CENTRES  As the name suggests, Data Centre is a type of information institution which is concern with the collection and dissemination of data.  The modern society is very much in need of data for various human progress activities like planning, development, decision making, etc.  Data centres perform gathering, compilation, processing, evaluation and dissemination of data, not only in the field of Science and Technology, but also in various subject fields.
  • 4. DATA CENTRES  Data Centres are devoted only to the storage of data and to make it available as and when required.  Data centres are one of the essential information institutions which deals with organised data compilation activities from gathering , processing, evaluation and dissemination.  Data centre is an organisation which handles “quantitative numerical data.”  It is also considered as a special information centre.
  • 5. DATA  Data precisely is numerical , factual , alphabetical or graphic and one dimensional.  Data is unprocessed information. It is also termed as ‘raw information.’  The data may be described as a discrete and unorganised piece of information.  It is also defined as groups of non-random symbols, consisting of quantities, action objects, etc.  Research depends on easy availability of earlier research data.
  • 6. DATA  Data must be collected , processed and organised for its better utilization.  Data may be of different categories such as: Scientific data, Technical data, Techno-economic data, Business data, Industrial data, Manpower data, Socio-economic data, demographic date, etc.  Data generally collected through observation and surveys are required to be stored for future use.  The institutions developed for this purpose are known as data centre.
  • 7. DATA CENTRES AND DATA BANK  The terms Data centres and Data banks are used synonymously but they vary in regard to the subject they deal with and also the type of data they handle.  Data centres handle only numerical data pertaining to Science and Technology primarily with physical and chemical properties.  Data banks are multidisciplinary and handle all types of data comprising administrative, statistical , techno- economic, census, management subjects which are produced by various institutions and agencies.
  • 8. DATA CENTRES AND DATA BANK cont……….  Data centres handle data themselves and also the literature concerning them whereas data banks handle only data.  Data centres store data related to narrow field of specialization.  Any institution interested in developing data handling capacities may be called data centre.
  • 9. STRUCTURE OF DATA CENTRE  The data centre generally includes three major components :  1. An organised data collection (i.e. database);  2. A connection with the data sources which periodically update the database.  3. The users who are in direct interaction with the database to meet their requirements.
  • 10. FUNCTIONS OF DATA CENTRE  Three main functions of data centre are-  1. Data compilation- The generated data should be compiled to put it to use . It involves collection , correction and grouping.  2. Evaluation- The data collected are evaluated by other users for its utility.  3. Dissemination- data disseminated to prevent duplication.
  • 11. BASIC PRINCIPLES Of ORGANISATION OF DATA CENTRE  1. Data received and collected from different documents by a group of specialists who decide the importance and relevance of data , control and fit them with the generator source.  2.The received data are organised as basic data for their further use in initial form.  3.data converted into machine readable form and structured into a database for computer processing.
  • 12. DATA CENTRE- PERSONNEL  For accomplishing various functions efficiently, a data centre should be equipped with suitably trained manpower.  Data centre employs following different categories of personnel-  i) Data Coordinators.  ii) Data Specialists.  iii) Data Analysts.  iv) Programmers.
  • 13. DATA SERVICES OF DATA CENTRE  The data centre is expected to provide two basic types of services-  i- answer user queries,  ii- supply the processed/synthesised data . This data is processed from basic data.  The data services may be provided on demand or on anticipatory basis.  The data centre collects, processes data for its dissemination to answer the user queries.
  • 14. DATA CENTRES : TYPES AND LEVELS  Data centres vary both in scope and size.  A data centre can be established at Local, Regional, National and International level.  The data services either exclusively offered by three different data centres, or collectively by one or two centres of the following types-  1. Data Evaluation Centre (DEC)- includes organisation which generate critical data systems . Its basic function is to compile, process and to evaluate data in a specialised area . These are one or two only for each country.
  • 15. DATA CENTRES : TYPES AND LEVELS  2.1- Data Dissemination Centre (Local) (DDC)-These are established at the local level and cover a wide subject area. These are also a part and parcel of DECs. The user gets the data from Dec through local-DDC or sometimes directly from DECs. It offers following services- -offer references from collected published compilations. -services from stored /collected machine readable data. -assisting user in data finding . -publish secondary publications on data.
  • 16. DATA CENTRES : TYPES AND LEVELS  2.2- Data Dissemination Centre (Global) (DDC)-These are established at Global level. It is highly specialised in subject matter and responds only to such information to readers.  It stores all output products of Data Evaluation Centre in the respective field.  It disseminates data on user’s request.  It provides necessary information to a Data Referral Centre (DRC).
  • 17. DATA CENTRES : TYPES AND LEVELS  3. - Data Referral Centre (Global) (DDC)-There can only be a single DRC established at Global Level. This serves the users through out the world.  It collects world wide information on data resources.  Prepare comprehensive file with detailed subject index for data access.  Refer users to appropriate sources.
  • 18. CODATA- Committee on Data for Science and Technology  As data can be used by different agencies in different forms, it was considered as collective effort.  Many academic and research institutions, Government institutions and also international institutions started participating in this activity.  In 1963, National Standard Reference Data System (NSRDS) was established in USA.  Data compilation activities also started in other countries like France, Japan, Germany, UK.
  • 19. CODATA- cont……….  Though many countries started participating in data compilation activities, yet coordination part was missing among various data compilation and data gathering activities located globally.  A need of central agency was felt which can coordinate and share its activities with other countries.  In 1966, International Council of Scientific Union (ICSU) created CODATA to promote and encourage compilation, evaluation and dissemination of reliable numerical data.
  • 20. CODATA- cont……….  CODATA provides Scientists and Engineers with access to international data activities for increased awareness, direct cooperation and new knowledge.  OBJECTIVES-  To improve quality and accessibility of data.  To improve the methods of data acquisition, management, analysis and evaluation.  To facilitate international cooperation among institutions participating in collection, organisation and use.  Promoting increasing awareness for participation in these activities.
  • 21. CODATA- cont……….  PUBLICATIONS-  CODATA Newsletter- announces publication of current data compilations, with comments, contents and accessibility.  CODATA Bulletins.  CODATA Directories of Data sources.  CODATA Referral Database.
  • 22. INTERNATIONAL DATA CENTRES  1. NASA Astronomical Data Centre (ADC)- publishes astronomical data and journal tables.  INTERNATION CENTRE FOR DIFFRACTION DATA (ICDD)- It is a non-profit Scientific and Technical organisation. It has world wide membership from academics, Government and industries. The centre is dedicated towards collection , storage, editing, publication and dissemination of data pertaining to power diffraction for the identification of crystalline materials. It has vision to encourage the use of the Power Diffraction File (PDF) for phase identification of crystalline materials.
  • 23. NATIONAL DATA CENTRES  India being the World’s second largest Scientific and Technological base, contributes significantly in Research and Development activities. Several institutions like, Council of Scientific and Industrial Research (CSIR), Indian Council of Medical Research (ICMR), Indian Council of Agricultural research (ICAR),Indian Space Research Organisation (ISRO), Defence Research and Development Organisation (DRDO) and many other academic and research institutions are engaged in data generation and compilation activities.
  • 24. NATIONAL DATA CENTRES cont…….  1. ENVIRONMENTAL INFORMATION CENTRE- It is governed by the Ministry of Environment and Forests. It provides high quality environmental data and information on India in a timely and cost-effective manner to improve environmental studies, project screening and scoping and the decision making process.  2 NATIONAL THERMOPHYSICAL PROPERTIES PROGRAM- It is located at Indian Institute of Science, Bangalore. It was established by the Science and Research Council (SERC)
  • 25. NATIONAL DATA CENTRES cont……. of the Department of Science and Technology (DST). The basic function of the centre is to evaluate and collect data pertaining to Thermophysical properties.  3. National Crystal Data Centre (NCDT)- National Information Centre on Crystallography (NICRYS) was established in 1982 at Department of Crystallography and Biophysics, University of Madras to serve National Information System on Crystallography under National Information Systems for Science and Technology (NISSAT) Programme of Department of Scientific and Industrial Research (DSIR), Government of India.
  • 26. NATIONAL DATA CENTRES cont…….  4. National Marine Data Centres (NMIDCs)- It was established by the Department of Ocean Development (DOD), Government of India with the objectives of developing efficient data handling and database structures using state-of-the art strategies to exercise stringent quality control on data.
  • 27. REFERRAL CENTRES  Referral Centres provide switching mechanisms among different types of institutions.  It serves as intermediary directing those who have queries concerning scientific and technical subjects, to organisations as well as individuals who are specialist in concerned field and are willing to share that knowledge with others.  Referral centres provide guidance and assistance in solving the information problems of the user community regarding appropriate information.
  • 28. REFERRAL CENTRES- DEFINITIONS  1. Referral Centre is an organisation for directing researchers for information and data to appropriate sources such as, libraries , information centres, evaluation centres, documents and documentation centres and individuals. A referral centre does not supply data or documents. -Harrod’s Librarian’s Glossary  It is like “Information Desk” which does not directly provides information but suggests sources likeky to satisfy enquirers.
  • 29. REFERRAL CENTRES- NEED AND PURPOSE  The basic purpose is to ease the stress on a single information system which is being loaded with all services. Libraries are integral and fundamental components of the information network system. They are unable to handle the dynamic needs of users which some times fall outside the contents of documents alone . Due to information bulk, timely importance of current information and also evaluation factor, referral centres became the utmost need to take guidance of experts.
  • 30. REFERRAL CENTRES-FUNCTIONS  To collect world wide information about information/data sources within the subject or mission.  To prepare a comprehensive inventory of the types of information/data services available form these sources with a detailed subject index to facilitate its access.  To guide users to appropriate sources where from the required data or information may be obtained.  To function as an intermediary between enquirer and the organisation and/or individuals who possess specialised knowledge.
  • 31. REFERRAL CENTRES- BASIC OPERATIONS  A referral centre has to perform following basic operations to achieve the objectives-  A referral centre should possess an inventory of all significant information resources in different disciplines.  It should compile and publish directories of scientific and technical information resources.  A referral centre has to analyse the operating relationship that exist in the scientific information complex.
  • 32. INFORMATION RESOURCES FOR REFERRAL CENTRES-  For the purpose of referral centre, information resources may be considered to include Professional Societies, University Research Bureau and institutes, Government agencies, libraries , Testing stations and individual experts as well as more professional source of information such as Technical libraries, Information and Documentation Centres and abstracting and indexing services.  A referral centre might receive request by letters, by personal visits and through mobile/telephone. All the information provided is noted to maintain a record of information provided.
  • 33. CLEARING HOUSES  It is a central agency for collection, classification and distribution of information.  It may include specialised information centres as well as conventional libraries.  It represents a depository for documents with the additional objective of serving as a central agency engaged in the distribution of information.  It also collects and maintains records of research and development.  Sometimes subjective questions in the record are referred to source and clearing house may have to perform the function of referral centre.
  • 34. THE EDUCATIONAL RESEARCH INFORMATION CENTRE (ERIC)  ERIC also acts a resource centre and provides referral service.  It is an online digital library of education research and information.  ERIC is sponsored by the Institute of Educational Sciences of the United States Department of Education.  The mission of ERIC is to provide a comprehensive, easy- to-use, searchable Internet-based bibliographic and full- text database of education research and information for educators, researchers and general public.
  • 35. ACTIVITIES OF SOME NOTABLE REFERRAL CENTRES  1.National Referral Centre, Library of Congress-  It was opened in 1963 as National Referral Centre for Science and Technology . This referral centre of reference department works closely with another division i.e.. Science and Technology Division of the Library of congress.  It is designed as a clearing house and provides comprehensive coordinated access to the nation’s resources of Science and Technical information.
  • 36. NOTABLE REFERRAL CENTRES Cont……  It maintains an exhaustive inventory of significant information.  It has developed a very comprehensive “register of Information sources ” of different kinds.  The centre maintains a file of over Twelve Thousand experts and uses it to provide information to the users.  The sources contain details of names , addresses and a brief description of information source.
  • 37. NOTABLE REFERRAL CENTRES Cont……  2. International Referral service of UNEP-  The United Nations Environmental Programme (UNEP) has established International Referral Service, for all sources of Environmental information.  In every country, a national group provides details about the information through various local centres.
  • 38. NOTABLE REFERRAL CENTRES Cont……  3.The Science and Technology Referral Centre of Israel-  It provides information relating to information services available to or from other information centres of Israel.  Collects and disseminates information from sources both in Israel and abroad which are not available through commercial channels or whose acquisition requires , national, international or Governmental participation.  Publishes Directories and other reference materials which are of national and interdisciplinary interest.
  • 39. NOTABLE REFERRAL CENTRES Cont…… 4.INRES-  United Nations established UNDP (United Nations Development Programme) to develop a better quality of life through development programmes.  UNDP developed the Global Information Referral System (INRES) which provide comprehensive and up-to-date information or skills and capabilities available in developing countries . These skills and capabilities can be utilised for Technical Cooperation among Developing Countries (TCDC).
  • 40. NOTABLE REFERRAL CENTRES Cont……  The INRES/TCDC has been engaged in creation of various information sources to provide referral service .  It published Two directories of services of TCDC in 1977 and 1978.  INRES has also built up a database of new sources of information about capabilities of different institutes from various developing countries. 
  • 41. REFERRAL DATABASE  1.DARE- International Social Science Directory  First and the largest UNESCO Database.  Contains world wide reference to research and training institutions, specialists , course projects , documentation and information services in the field of Social Sciences.  2. CODATA Referral Database (CRD)  3.EDUPLAN – Educational Planning Institution  4.INISTE – Institutions specialised in education, in the area of Science and Technology policies.
  • 42. CONCLUSION  Data Centre handles “quantitative numerical data” for Science and Technology . Data Banks are multidisciplinary and handle all types of data comprising administrative, statistical ,techno- economic, etc. Referral Centre is “Directional Source” which directs to a source of information. It provides a mechanism for switching to information sources. Referral centres collects information sources and guides users to appropriate sources.