Meta data harvesting Tools Prepare the Lecture in Umrav Singh

1. Devi Ahilya Vishwavidyalaya, Indore (M.P.)
School of Library and Information Science, Indore
Session-2015-16
Metadata Harvesting tools
Submitted To:- Submitted by :-
Dr. GHS Naidu
Umrav Singh
HOD SLIS, Indore MPhil Library and Information Sc.

2. Contents
 Introduction to Metadata
 Definition of Metadata
 What is Meta Data harvesting
 Meta Harvesting Process
 Need of Meta Data
 Types of Meta Data

3. Introduction to Metadata
 Metadata can be defined as "data about data" describe the content,
quality, condition, and other characteristics of data. Metadata is vital in
helping potential users to find needed data and determine whether a data
set will meet their needs before they spend the time and money to obtain
and process it.

4. Example of Metadata
Element name Value
Title: Web catalogue
Creator: Dagnija McAuliffe
Publisher: University of Queensland Library
Format: Text/htm

5. Definition of Metadata
 “ Data that serves to provide context or additional information about
other data. for example, information about the title, subject , author,
typeface, enhancements, and size of the data file of a documents
constitute metadata about that document. It may also describe the
conditions under which the data stored in a database was acquired, its
accuracy, data, time, method of compilation and processing, etc.”
According to : http://www.businessdictionary.com/definition/metadata.html

6. Need of Metadata
Metadata is a systematic method for describing resources
and thereby improving access to them.
The primary aim of metadata is to improve resources
discovery. Resource documentation
 Resource selection, evaluation and assessment
 Resource identification and location
 Improving the quality and quantity of search result
 Electronic commerce to encode prices, term of pay, etc.
 Protecting instinctual property rights

7. Types of Meta Data
 Administrative Meta Data
 Descriptive Meta Data
 Structural Meta Data
 Preservation Meta Data
 Right Management Meta Data

8. What is Metadata Harvesting ?
 Harvesting: In the Open Archives Initiative context, harvesting refers
specifically to the gathering together of metadata from a number of
distributed repositories into a combined data store.

9. The Web

10. An Aggregation and the web

12. Process of data Harvesting

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Need of Meta Data Harvesting
 Single Platform for resource Discovery
 Easy Sharing of Resources Between Libraries/ Digital Libraries
 Archiving data
 Preservation

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Interoperability Requirements
Meta Data Standard (Like Dublin Core
Meta Data Elements Set)
Open Archives Initiatives – Protocol of
Metadata Harvesting (OAI)
Data Provider

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Cont……
Data Providers (DPs)
 Provide free Access to Meta Data.
Service Providers (SPS)
 Use the OAI Interfaces of the Data providers to harvest and store meta data.

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Example of Meta Data Harvesting
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17. Metadata Harvesting Services in India
1. NAME: Search Digital Libraries (SDL)
URL: http://drtc.isibang.ac.in/sdl
Host: DRTC Bangalore
Software Used: PKP (Public Knowledge Project)
2. Name: Knowledge Harvester@INSA (Indian National Science Academy)
URL: http://61.16.154.195/harvester/
Host: INSA
Software Used: PKP (Public Knowledge Project)
Open Access Initiative for Metadata Protocol Harvesting
Open Access works are scattered across many disciplinary archives, institutional e-print archives,
institutional repositories and open access journals. Therefore, it is difficult for users to locate all
needed works on a particular subject.

18. Metadata Harvesting Services in India
Cont…..
3. NAME: Open J-Gate
URL: www.openj-gate.com
Host: Informatics (India) Ltd.
4. Name: SEED (Search Engine for Engineering Digital-Repositories)
URL: http://eprint.iitd.ac.in/seed/
Host: IIT, Delhi
Software Used: PKP (Public Knowledge Project)

19. Metadata Schema
The Format or Schema of Metadata
may be vary in different
organizations according to their
requirements.
Each metadata schema will usually

20. Meta Data harvesting Tools
 Arc (http://arc.cs.odu.edu)
 Citibase (http://citebase.eprints.org/cgi-bin/search)
 CYCLADES (http://www.ercim.org/cyclader/)
 Repox (http://repox.ist.utl.ptlindex.html/)
 OAICAT (http://www..oclc.org/research/software/oai/cat/)
 OAI Repository Explorer(http://re.cs.uct.anza/)

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Library related standards: Considerations
 Metadata Standards
 Some of the metadata standards available are MARC, MARC21, Dublin Core,
UK MARC (now transformed to marc21), etc. MARC21 is the latest standards
in term of metadata. The first level metadata elements of MARC are:
 Leader and Directory
 Control Fields 001-008
 Number and Code Fields (01X-04X)

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Library related standards: Considerations
(cont’d.)
 Main Entry Fields (1XX)
 Title and Title-Related Fields (20X-24X)
 Edition, Imprint, etc.Fields (250-270)
 Physical Description, etc. Fields (3XX)
 Series Statement Fields (4XX)
 Subject Access Fields (6XX)

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Examples of Metadata Standards Web Sites:
LC standards include:
•MARC: Machine-Encoded Cataloging:
http://www.loc.gov/marc/
•MARCXML
http://www.loc.gov/standards/marcxml/
•MODS: Metadata Object Description Schema:

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Conclusion
 Metadata is a key part of the information infrastructure necessary to help
create order in the chaos of the Web, infusing description, classification,
and organization to help create more useful stores of information. OAI
metadata harvesting offers a new bridge to bring new innovation in
networked information services and applications, out of the research
community more rapidly

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Reference
 http://www.slideshare.net/ManasaRath/metadata-harvesting-46638140?qid=09b4ac52-cc73-
4b6e-9ce3-c0625eb6b585&v=default&b=&from_search=1
 https://www.google.co.in/?gfe_rd=cr&ei=C0ZMVd35J-LA8gfb0oCoCg&gws_rd=ssl

26. Thank you