The document discusses the Central Library at IIT Madras, which serves over 12,000 users. It faces challenges like users finding it difficult to search individual resources and preferring Google. The library lacks a tool to fully search all subscribed resources from one entry point. It implemented a web-scale discovery service called Chamo to address these issues. Chamo allows users to search across the library's collection from a single search box and get results enhanced with features like cover images and summaries.
Closing the scientific literature access gap with CORE - how to gain free acc...Nancy Pontika
Presented during the International Open Access Week 2020 for the Kerala Library Association, October 21, 2020.
The presentation is about CORE, a global harvester of open access scientific content and the CORE services on content discovery, managing content and access to raw data.
Closing the scientific literature access gap with CORE - how to gain free acc...Nancy Pontika
Presented during the International Open Access Week 2020 for the Kerala Library Association, October 21, 2020.
The presentation is about CORE, a global harvester of open access scientific content and the CORE services on content discovery, managing content and access to raw data.
Seminar on 'Modern Library Technologies' held
THRISSUR: Modern library technologies should be targeted to provide better services to the library clientele, opined Dr CT Abraham, Associate Dean, Horticulture College, Kerala Agricultural University (KAU).
He was inaugurating the seminar on 'Technology Management in Modern Libraries' jointly organised by the Kerala Library Association (KLA) and the College of Horticulture, KAU on Monday in the university compound.
KLA (Thrissur region) President Dr AT Francis presided over the function and KP Sathian, librarian of the KAU, delivered the keynote address.
C Abdul Razak, former librarian of KAU; VC John, librarian of Thejus Enginnering College, Vellarakkad and PM Biju, librarian of Quilandy Centre of Sanskrit University spoke on the occasion.
Dr P Vijayakumaran Nair, former scientist of Kerala Forest Research Institute (KFRI), Peechi; Vinitha Davies, librarian of St Aloysius College, Elthuruth and N Sarojam, scientist and chief librarian of KFRI were presented theme papers 'Digital Library: A Critical Survey of Packages Available', 'WiFi Networks in Libraries' and 'How to Make Available the Contents of the Journals Subscribed in the Library for Searching in Online', respectively.
KN Vijayalekshmi, librarian of the Govt. Nursing College; PD Anto, Librarian of Prajothi Nikethan College, Pudukkad; EK Mohanlal from Veterinary University; VG Siju of Cochin University; KR Nagarajan, librarian of the Govt. Engineering College, Thrissur; MC Sathi, librarian of Veterinary College, Mannuthy; KA Fincy, librarian from Valappad Grama Panchayath and
VS .Sreedevi, librarian of the Holy Grace Academy, Mala led the discussions.
(Kerala Kowmudi, Janayugam, Times of India Dated 25-10-2012)
This presentation was provided by Peter Vlahakis and Dan Paskett, both of ITHAKA/JSTOR, during the NISO webinar, Tracing Discovery and Subsequent Use, held on Wednesday, December 6, 2017,
How you and your gateway can benefit from the services of the Science Gateway...Katherine Lawrence
January 2017 webinar of the Science Gateways Community Institute. Recording and additional details available at http://sciencegateways.org/upcoming-events/webinars/#previous
The Power of Sharing Linked Data - ELAG 2014 WorkshopRichard Wallis
Presentation to set the scene and stimulate discussion in the Workshop "The Power of Sharing Linked Data" at ELAG 2014 - Bath University, UK June 10/11 2014
What does success look like when it comes to library discoverability? Index based discovery systems have seen a dramatic rate of adoption since introduction to the research ecosystem in 2009, with more than 9,000 libraries relying on a discovery system to provide users with a comprehensive index to their offerings. Some issues bar the way to providing this comprehensive view, but many challenges have been overcome through collaboration between libraries, content providers and discovery partners. The NISO ODI initiative began to examine these issues in 2011, and released a best practice in June 2014.
Speakers will highlight examples of successful collaboration, note continued areas of challenge, and provide insight on how the Open Discovery Initiative Conformance Checklists can be used as a mechanism to evaluate content provider or discovery provider conformance with the best practice.
Libraries are rapidly changing and expanding to web-based delivery of content and related access services to cater the information needs and expectations of their modern users.
One approach is to design and develop multi tired architectures that include an integration layer providing programme level services for user level applications such as a portal.
The library portal is a tool to organize information resources and services in a way that supports the users’ needs.
LIS professionals should be aware about portal technology, its applications in academics and usability of the portal which is based on effective content management system.
Transitioning from Reference to Research Data:
One Librarian’s Journey - Margaret discusses setting up research data services at Virginia Commonwealth University.
Use and Impact of Electronic Journals on the Users of VIT University, Vellore...inventionjournals
Today availability of e-resources in a university library is very common. They serve more than repositories for repositories for materials and knowledge and they are of an access point to acquiring knowledge and skills. But their proper and maximum use is a matter for discussion. Periyar EVR Central Library in VIT University subscribes to a number of electronic journals to satisfy the information needs of its users. The present study examines the existence of various e-resources and services are available at Periyar EVR Central Library in VIT University. The study also highlights different types of electronic resources used by students and faculty, the purposes and frequency of using electronic resources and the problems faced by the users while accessing and using the electronic resources in the library.
Web-Scale Discovery: Post ImplementationRachel Vacek
Discovery services provide users a single
search box to access a library’s entire prei-ndexed collection. Representatives from
two academic libraries serving different
user populations will discuss marketing,
instructing users, evaluating the product,
and maintaining the resource after a
discovery service is implemented
Linked Data Love: research representation, discovery, and assessment
#ALAAC15
The explosion of linked data platforms and data stores over the last five years has been profound – both in terms of quantity of data as well as its potential impact. Research information systems such as VIVO (www.vivoweb.org) play a significant role in enabling this work. VIVO is an open source, Semantic Web-based application that provides an integrated, searchable view of the scholarly activities of an organization. The uniform semantic structure of VIVO-ISF data enables a new class of tools to advance science. This presentation will provide a brief introduction and update to VIVO and present ways that this semantically-rich data can enable visualizations, reporting and assessment, next-generation collaboration and team building, and enhanced multi-site search. Libraries are uniquely positioned to facilitate the open representation of research information and its subsequent use to spur collaboration, discovery, and assessment. The talk will conclude with a description of ways librarians are engaged in this work – including visioning, metadata and ontology creation, policy creation, data curation and management, technical, and engagement activities.
Kristi Holmes, PhD
Director, Galter Health Sciences Library
Director of Evaluation, NUCATS
Associate Professor, Preventive Medicine-Health and Biomedical Informatics
Northwestern University Feinberg School of Medicine
Humanities Crowdsourcing on the Zooniverse PlatformUCLDH
Zooniverse (https://www.zooniverse.org/) is a world-leading academic crowdsourcing organization based at the University of Oxford, the Adler Planetarium and the University of Minnesota. This talk will provide an overview of the types of metadata extraction and full text transcription projects and tools that are currently available on the platform. It will give an overview of the design and lessons learned from projects such as Operation War Diary, Science Gossip, Shakespeare’s World and Measuring the ANZACs, and suggest ways in which crowdsourced data can be used in the humanities. The talk will also provide an overview of the free Project Builder (https://www.zooniverse.org/lab), where anyone with an internet connection can create their own project and obtain their own data.
Library collaboration in India, consortia program between publisher and libraries. this paper deals with Indian library systems and why there is need of collaboration for them.
Opening Keynote: From where we are to where we want to be: The future of resource discovery from a UK perspective
Neil Grindley, Head of Resource Discovery, Jisc
Glimpses of the Past: An Album on the 125th Birth Anniversary of Prof PC Moha...Kishor Satpathy
Professor Prasanta Chandra Mahalanobis, the doyen of Indian Statistics is known for his pioneering contributions to D2-Statistic and Large Scale Sample Surveys. He was born in a well established family in Calcutta on 29th June 1893 and completed his schooling from Brahmo Boys’ School. In 1912, he graduated with honours in Physics from Presidency College, Calcutta and completed Tripos in Mathematics and Physics from King’s College, Cambridge in the year 1915.
Professor Mahalanobis started his early career as an Assistant Professor in the Department of Physics, Presidency College, Calcutta. During the 1920s, Professor Mahalanobis set up a Statistical Laboratory in the same department. On 17 December 1931, the Indian Statistical Institute was founded by him as a learned society and housed in the Statistical Laboratory. The Institute was registered on 28 April 1932, as a non-profit distributing learned society under the Societies Registration Act (XXI of 1860) and is now registered under the West Bengal Societies Registration Act XXVI of 1961 amended in 1964.In the year 1959, the Institute become the ‘Institute of National Importance’ by an Act of Parliament of India. Under his dynamic leadership, the institute initiated and promoted the interaction of statistics with other natural and social sciences.
He was instrumental in setting up the National Sample Survey, Central Statistical Organization and introducing Statistical Quality Control System in India. Professor Mahalanobis contributed in a big way to economic planning of India. He was the main architect of India’s Second Five Year Plan (1956-61).
He had a long and close association with Rabindranath Tagore and was a great lover of art and literature. Professor Mahalanobis received several awards and honours from various academic societies all over the world. Professor Mahalanobis collaborated with various eminent scientist of different countries for scientific research. The era from the nineteen twenties to till his death in 1972 is considered to be the golden period in the history of statistics in India, marked by an intense development of statistics as a key technology, and its application for the welfare of mankind.
In order to tribute Professor Mahalanobis on his 125th Birth Anniversary, the Library Documentation and Information Science Division has brought out the current album with a selective collection of rare photos, which will highlight the glimpses of the life and works of Professor Prasanta Chandra Mahalanobis. Hope the reader will find the journey of Professor Mahalanobis a fascinating one !!
29th June 2018
Dr. Kishor Chandra Satpathy
Chief Librarian
ISI, Kolkata
Seminar on 'Modern Library Technologies' held
THRISSUR: Modern library technologies should be targeted to provide better services to the library clientele, opined Dr CT Abraham, Associate Dean, Horticulture College, Kerala Agricultural University (KAU).
He was inaugurating the seminar on 'Technology Management in Modern Libraries' jointly organised by the Kerala Library Association (KLA) and the College of Horticulture, KAU on Monday in the university compound.
KLA (Thrissur region) President Dr AT Francis presided over the function and KP Sathian, librarian of the KAU, delivered the keynote address.
C Abdul Razak, former librarian of KAU; VC John, librarian of Thejus Enginnering College, Vellarakkad and PM Biju, librarian of Quilandy Centre of Sanskrit University spoke on the occasion.
Dr P Vijayakumaran Nair, former scientist of Kerala Forest Research Institute (KFRI), Peechi; Vinitha Davies, librarian of St Aloysius College, Elthuruth and N Sarojam, scientist and chief librarian of KFRI were presented theme papers 'Digital Library: A Critical Survey of Packages Available', 'WiFi Networks in Libraries' and 'How to Make Available the Contents of the Journals Subscribed in the Library for Searching in Online', respectively.
KN Vijayalekshmi, librarian of the Govt. Nursing College; PD Anto, Librarian of Prajothi Nikethan College, Pudukkad; EK Mohanlal from Veterinary University; VG Siju of Cochin University; KR Nagarajan, librarian of the Govt. Engineering College, Thrissur; MC Sathi, librarian of Veterinary College, Mannuthy; KA Fincy, librarian from Valappad Grama Panchayath and
VS .Sreedevi, librarian of the Holy Grace Academy, Mala led the discussions.
(Kerala Kowmudi, Janayugam, Times of India Dated 25-10-2012)
This presentation was provided by Peter Vlahakis and Dan Paskett, both of ITHAKA/JSTOR, during the NISO webinar, Tracing Discovery and Subsequent Use, held on Wednesday, December 6, 2017,
How you and your gateway can benefit from the services of the Science Gateway...Katherine Lawrence
January 2017 webinar of the Science Gateways Community Institute. Recording and additional details available at http://sciencegateways.org/upcoming-events/webinars/#previous
The Power of Sharing Linked Data - ELAG 2014 WorkshopRichard Wallis
Presentation to set the scene and stimulate discussion in the Workshop "The Power of Sharing Linked Data" at ELAG 2014 - Bath University, UK June 10/11 2014
What does success look like when it comes to library discoverability? Index based discovery systems have seen a dramatic rate of adoption since introduction to the research ecosystem in 2009, with more than 9,000 libraries relying on a discovery system to provide users with a comprehensive index to their offerings. Some issues bar the way to providing this comprehensive view, but many challenges have been overcome through collaboration between libraries, content providers and discovery partners. The NISO ODI initiative began to examine these issues in 2011, and released a best practice in June 2014.
Speakers will highlight examples of successful collaboration, note continued areas of challenge, and provide insight on how the Open Discovery Initiative Conformance Checklists can be used as a mechanism to evaluate content provider or discovery provider conformance with the best practice.
Libraries are rapidly changing and expanding to web-based delivery of content and related access services to cater the information needs and expectations of their modern users.
One approach is to design and develop multi tired architectures that include an integration layer providing programme level services for user level applications such as a portal.
The library portal is a tool to organize information resources and services in a way that supports the users’ needs.
LIS professionals should be aware about portal technology, its applications in academics and usability of the portal which is based on effective content management system.
Transitioning from Reference to Research Data:
One Librarian’s Journey - Margaret discusses setting up research data services at Virginia Commonwealth University.
Use and Impact of Electronic Journals on the Users of VIT University, Vellore...inventionjournals
Today availability of e-resources in a university library is very common. They serve more than repositories for repositories for materials and knowledge and they are of an access point to acquiring knowledge and skills. But their proper and maximum use is a matter for discussion. Periyar EVR Central Library in VIT University subscribes to a number of electronic journals to satisfy the information needs of its users. The present study examines the existence of various e-resources and services are available at Periyar EVR Central Library in VIT University. The study also highlights different types of electronic resources used by students and faculty, the purposes and frequency of using electronic resources and the problems faced by the users while accessing and using the electronic resources in the library.
Web-Scale Discovery: Post ImplementationRachel Vacek
Discovery services provide users a single
search box to access a library’s entire prei-ndexed collection. Representatives from
two academic libraries serving different
user populations will discuss marketing,
instructing users, evaluating the product,
and maintaining the resource after a
discovery service is implemented
Linked Data Love: research representation, discovery, and assessment
#ALAAC15
The explosion of linked data platforms and data stores over the last five years has been profound – both in terms of quantity of data as well as its potential impact. Research information systems such as VIVO (www.vivoweb.org) play a significant role in enabling this work. VIVO is an open source, Semantic Web-based application that provides an integrated, searchable view of the scholarly activities of an organization. The uniform semantic structure of VIVO-ISF data enables a new class of tools to advance science. This presentation will provide a brief introduction and update to VIVO and present ways that this semantically-rich data can enable visualizations, reporting and assessment, next-generation collaboration and team building, and enhanced multi-site search. Libraries are uniquely positioned to facilitate the open representation of research information and its subsequent use to spur collaboration, discovery, and assessment. The talk will conclude with a description of ways librarians are engaged in this work – including visioning, metadata and ontology creation, policy creation, data curation and management, technical, and engagement activities.
Kristi Holmes, PhD
Director, Galter Health Sciences Library
Director of Evaluation, NUCATS
Associate Professor, Preventive Medicine-Health and Biomedical Informatics
Northwestern University Feinberg School of Medicine
Humanities Crowdsourcing on the Zooniverse PlatformUCLDH
Zooniverse (https://www.zooniverse.org/) is a world-leading academic crowdsourcing organization based at the University of Oxford, the Adler Planetarium and the University of Minnesota. This talk will provide an overview of the types of metadata extraction and full text transcription projects and tools that are currently available on the platform. It will give an overview of the design and lessons learned from projects such as Operation War Diary, Science Gossip, Shakespeare’s World and Measuring the ANZACs, and suggest ways in which crowdsourced data can be used in the humanities. The talk will also provide an overview of the free Project Builder (https://www.zooniverse.org/lab), where anyone with an internet connection can create their own project and obtain their own data.
Library collaboration in India, consortia program between publisher and libraries. this paper deals with Indian library systems and why there is need of collaboration for them.
Opening Keynote: From where we are to where we want to be: The future of resource discovery from a UK perspective
Neil Grindley, Head of Resource Discovery, Jisc
Glimpses of the Past: An Album on the 125th Birth Anniversary of Prof PC Moha...Kishor Satpathy
Professor Prasanta Chandra Mahalanobis, the doyen of Indian Statistics is known for his pioneering contributions to D2-Statistic and Large Scale Sample Surveys. He was born in a well established family in Calcutta on 29th June 1893 and completed his schooling from Brahmo Boys’ School. In 1912, he graduated with honours in Physics from Presidency College, Calcutta and completed Tripos in Mathematics and Physics from King’s College, Cambridge in the year 1915.
Professor Mahalanobis started his early career as an Assistant Professor in the Department of Physics, Presidency College, Calcutta. During the 1920s, Professor Mahalanobis set up a Statistical Laboratory in the same department. On 17 December 1931, the Indian Statistical Institute was founded by him as a learned society and housed in the Statistical Laboratory. The Institute was registered on 28 April 1932, as a non-profit distributing learned society under the Societies Registration Act (XXI of 1860) and is now registered under the West Bengal Societies Registration Act XXVI of 1961 amended in 1964.In the year 1959, the Institute become the ‘Institute of National Importance’ by an Act of Parliament of India. Under his dynamic leadership, the institute initiated and promoted the interaction of statistics with other natural and social sciences.
He was instrumental in setting up the National Sample Survey, Central Statistical Organization and introducing Statistical Quality Control System in India. Professor Mahalanobis contributed in a big way to economic planning of India. He was the main architect of India’s Second Five Year Plan (1956-61).
He had a long and close association with Rabindranath Tagore and was a great lover of art and literature. Professor Mahalanobis received several awards and honours from various academic societies all over the world. Professor Mahalanobis collaborated with various eminent scientist of different countries for scientific research. The era from the nineteen twenties to till his death in 1972 is considered to be the golden period in the history of statistics in India, marked by an intense development of statistics as a key technology, and its application for the welfare of mankind.
In order to tribute Professor Mahalanobis on his 125th Birth Anniversary, the Library Documentation and Information Science Division has brought out the current album with a selective collection of rare photos, which will highlight the glimpses of the life and works of Professor Prasanta Chandra Mahalanobis. Hope the reader will find the journey of Professor Mahalanobis a fascinating one !!
29th June 2018
Dr. Kishor Chandra Satpathy
Chief Librarian
ISI, Kolkata
Emerging Trends and Human Resource Management in Library and Information CentresKishor Satpathy
Emerging Trends and Human Resource Management in
Library and Information Centres Edited by Dr. Kishor Chandra Satpathy & Mrs. Krishnamati Singha Published by Published by
SHANKAR'S BOOK AGENCY PVT. LTD., 103 Munish Plaza, 20 Ansari Road, Daryaganj, New Delhi - 110 002
ISBN: 978-93-81893-11-1
Paper Presented during International Conference on What’s next in libraries? Trends, Space, and partnerships held during January 21-23, 2015 at NIT Silchar, Assam. It is being jointly organized by NIT Silchar, in association with its USA partner the Mortenson Center for International Library Programs, University of Illinois at Urbana-Champaign.
Paper Presented during International Conference on What’s next in libraries? Trends, Space, and partnerships held during January 21-23, 2015 at NIT Silchar, Assam. It is being jointly organized by NIT Silchar, in association with its USA partner the Mortenson Center for International Library Programs, University of Illinois at Urbana-Champaign.
Wnl `155 evaluation characteristics-operations and space by s k mandalKishor Satpathy
Paper Presented during International Conference on What’s next in libraries? Trends, Space, and partnerships held during January 21-23, 2015 at NIT Silchar, Assam. It is being jointly organized by NIT Silchar, in association with its USA partner the Mortenson Center for International Library Programs, University of Illinois at Urbana-Champaign.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Embracing GenAI - A Strategic ImperativePeter 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.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
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.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
1.4 modern child centered education - mahatma gandhi-2.pptx
Discivery service indest 2014
1. Web Scale Discovery Service: An Experience at
IIT Madras
Dr. Mahendra N. Jadhav
Deputy Librarian
IIT Madras
10th INDEST-AICTE Annual Meet and Workshop
5-6 May, 2014
NIT, Silchar
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
2. About Central Library
1 Central Library is one of the central support services of IIT
Madras and its mission to provide information services and
support to the scholarly Institute Community (more than
12000 users)
2 The Central Library has 9001:2008 ISO Certification by
TUV NORD of Germany.
3 The total collection of the library is approximate 4.5 lakhs
print volumes and more than 15000+ e-journals and major
e- databases and e-books access.
4 Library Budget: 13+ Crores for e-journals/databases and
1.5 Crore for books
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
3. About Central Library
1 Central Library is one of the central support services of IIT
Madras and its mission to provide information services and
support to the scholarly Institute Community (more than
12000 users)
2 The Central Library has 9001:2008 ISO Certification by
TUV NORD of Germany.
3 The total collection of the library is approximate 4.5 lakhs
print volumes and more than 15000+ e-journals and major
e- databases and e-books access.
4 Library Budget: 13+ Crores for e-journals/databases and
1.5 Crore for books
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
4. About Central Library
1 Central Library is one of the central support services of IIT
Madras and its mission to provide information services and
support to the scholarly Institute Community (more than
12000 users)
2 The Central Library has 9001:2008 ISO Certification by
TUV NORD of Germany.
3 The total collection of the library is approximate 4.5 lakhs
print volumes and more than 15000+ e-journals and major
e- databases and e-books access.
4 Library Budget: 13+ Crores for e-journals/databases and
1.5 Crore for books
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
5. About Central Library
1 Central Library is one of the central support services of IIT
Madras and its mission to provide information services and
support to the scholarly Institute Community (more than
12000 users)
2 The Central Library has 9001:2008 ISO Certification by
TUV NORD of Germany.
3 The total collection of the library is approximate 4.5 lakhs
print volumes and more than 15000+ e-journals and major
e- databases and e-books access.
4 Library Budget: 13+ Crores for e-journals/databases and
1.5 Crore for books
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
6. Central Library- Major Services / Infrastructure
1
VTLS-VIRTUA Library Management Software
2
Chamo-Discovery based Social WEBOPAC
3
100 Pecent RFID based Circulation
4
Digital Knowledge Centre -105 Systems with all the
facilities
5
Media Resource Centre -220 Seating capacity
6
Childrens Library Corner - more than 2500 books
7
In-house automatic and tube binding machine
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
7. Central Library- Major Services / Infrastructure
1
VTLS-VIRTUA Library Management Software
2
Chamo-Discovery based Social WEBOPAC
3
100 Pecent RFID based Circulation
4
Digital Knowledge Centre -105 Systems with all the
facilities
5
Media Resource Centre -220 Seating capacity
6
Childrens Library Corner - more than 2500 books
7
In-house automatic and tube binding machine
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
8. Central Library- Major Services / Infrastructure
1
VTLS-VIRTUA Library Management Software
2
Chamo-Discovery based Social WEBOPAC
3
100 Pecent RFID based Circulation
4
Digital Knowledge Centre -105 Systems with all the
facilities
5
Media Resource Centre -220 Seating capacity
6
Childrens Library Corner - more than 2500 books
7
In-house automatic and tube binding machine
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
9. Central Library- Major Services / Infrastructure
1
VTLS-VIRTUA Library Management Software
2
Chamo-Discovery based Social WEBOPAC
3
100 Pecent RFID based Circulation
4
Digital Knowledge Centre -105 Systems with all
the facilities
5
Media Resource Centre -220 Seating capacity
6
Childrens Library Corner - more than 2500 books
7
In-house automatic and tube binding machine
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
10. Central Library- Major Services / Infrastructure
1
VTLS-VIRTUA Library Management Software
2
Chamo-Discovery based Social WEBOPAC
3
100 Pecent RFID based Circulation
4
Digital Knowledge Centre -105 Systems with all the
facilities
5
Media Resource Centre -220 Seating capacity
6
Childrens Library Corner - more than 2500 books
7
In-house automatic and tube binding machine
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
11. Central Library- Major Services / Infrastructure
1
VTLS-VIRTUA Library Management Software
2
Chamo-Discovery based Social WEBOPAC
3
100 Pecent RFID based Circulation
4
Digital Knowledge Centre -105 Systems with all the
facilities
5
Media Resource Centre -220 Seating capacity
6
Childrens Library Corner - more than 2500 books
7
In-house automatic and tube binding machine
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
12. Central Library- Major Services / Infrastructure
1
VTLS-VIRTUA Library Management Software
2
Chamo-Discovery based Social WEBOPAC
3
100 Pecent RFID based Circulation
4
Digital Knowledge Centre -105 Systems with all the
facilities
5
Media Resource Centre -220 Seating capacity
6
Childrens Library Corner - more than 2500 books
7
In-house automatic and tube binding machine
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
13. Library Challenges
1
Difficult for users to search all resources
individually
2
The library website presented too many points of entry; A
variety of different databases made it confusing to figure
out where to go.
3
Users wanted to start searching immediately from a single
entry point
4
The library lacked a research tool that could fully search
all the subscribed resources of the Library
5
The library website required users to click through several
pages to find what they wanted.
6
Electronic resources were not being used to their full
potential.
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
14. Library Challenges
1
Difficult for users to search all resources individually
2
The library website presented too many points of
entry; A variety of different databases made it
confusing to figure out where to go.
3
Users wanted to start searching immediately from a single
entry point
4
The library lacked a research tool that could fully search
all the subscribed resources of the Library
5
The library website required users to click through several
pages to find what they wanted.
6
Electronic resources were not being used to their full
potential.
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
15. Library Challenges
1
Difficult for users to search all resources individually
2
The library website presented too many points of entry; A
variety of different databases made it confusing to figure
out where to go.
3
Users wanted to start searching immediately
from a single entry point
4
The library lacked a research tool that could fully search
all the subscribed resources of the Library
5
The library website required users to click through several
pages to find what they wanted.
6
Electronic resources were not being used to their full
potential.
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
16. Library Challenges
1
Difficult for users to search all resources individually
2
The library website presented too many points of entry; A
variety of different databases made it confusing to figure
out where to go.
3
Users wanted to start searching immediately from a single
entry point
4
The library lacked a research tool that could fully
search all the subscribed resources of the Library
5
The library website required users to click through several
pages to find what they wanted.
6
Electronic resources were not being used to their full
potential.
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
17. Library Challenges
1
Difficult for users to search all resources individually
2
The library website presented too many points of entry; A
variety of different databases made it confusing to figure
out where to go.
3
Users wanted to start searching immediately from a single
entry point
4
The library lacked a research tool that could fully search
all the subscribed resources of the Library
5
The library website required users to click
through several pages to find what they wanted.
6
Electronic resources were not being used to their full
potential.
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
18. Library Challenges
1
Difficult for users to search all resources individually
2
The library website presented too many points of entry; A
variety of different databases made it confusing to figure
out where to go.
3
Users wanted to start searching immediately from a single
entry point
4
The library lacked a research tool that could fully search
all the subscribed resources of the Library
5
The library website required users to click through several
pages to find what they wanted.
6
Electronic resources were not being used to their
full potential.
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
19. Library Challenges Contd..
1
Some users might not know the specialty of each
database.
2
Hence, Users prefer Google as their first search
preference
3
Librarians spent more time on orientation for students how
to conduct database searches? and less time on how to
evaluate resources?
4
Without evaluating uses statistics of e-resources
Renewal/discontinued..
5
Organization of e-resources
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
20. Library Challenges Contd..
1
Some users might not know the specialty of each database.
2
Hence, Users prefer Google as their first search
preference
3
Librarians spent more time on orientation for students how
to conduct database searches? and less time on how to
evaluate resources?
4
Without evaluating uses statistics of e-resources
Renewal/discontinued..
5
Organization of e-resources
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
21. Library Challenges Contd..
1
Some users might not know the specialty of each database.
2
Hence, Users prefer Google as their first search
preference
3
Librarians spent more time on orientation for
students how to conduct database searches? and
less time on how to evaluate resources?
4
Without evaluating uses statistics of e-resources
Renewal/discontinued..
5
Organization of e-resources
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
22. Library Challenges Contd..
1
Some users might not know the specialty of each database.
2
Hence, Users prefer Google as their first search
preference
3
Librarians spent more time on orientation for students how
to conduct database searches? and less time on how to
evaluate resources?
4
Without evaluating uses statistics of e-resources
Renewal/discontinued..
5
Organization of e-resources
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
23. Library Challenges Contd..
1
Some users might not know the specialty of each database.
2
Hence, Users prefer Google as their first search
preference
3
Librarians spent more time on orientation for students how
to conduct database searches? and less time on how to
evaluate resources?
4
Without evaluating uses statistics of e-resources
Renewal/discontinued..
5
Organization of e-resources
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
24. Organization of e-Resources
The most of the library Web portals provide the links to
important e-resources by
Publisher’s wise
A-Z List,Subject
Wise
WEBOPAC
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
25. Organization of e-Resources
The most of the library Web portals provide the links to
important e-resources by
Publisher’s wise
A-Z List,Subject
Wise
WEBOPAC
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
26. Organization of e-Resources
The most of the library Web portals provide the links to
important e-resources by
Publisher’s wise
A-Z List,Subject
Wise
WEBOPAC
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
27. Next-Gen Web-OPAC or Discovery Interface
The CHAMO Next-generation Web OPAC
Single search box,
Query tools,
Recently added
results
Faceted navigation
Enhanced visual
displays
Cover art,
Summaries,
reviews, TOC
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
28. Next-Gen Web-OPAC or Discovery Interface
The CHAMO Next-generation Web OPAC
Single search box,
Query tools,
Recently added
results
Faceted navigation
Enhanced visual
displays
Cover art,
Summaries,
reviews, TOC
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
29. Next-Gen Web-OPAC or Discovery Interface
The CHAMO Next-generation Web OPAC
Single search box,
Query tools,
Recently added
results
Faceted navigation
Enhanced visual
displays
Cover art,
Summaries,
reviews, TOC
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
30. Next-Gen Web-OPAC or Discovery Interface
The CHAMO Next-generation Web OPAC
Single search box,
Query tools,
Recently added
results
Faceted navigation
Enhanced visual
displays
Cover art,
Summaries,
reviews, TOC
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
31. Next-Gen Web-OPAC or Discovery Interface
The CHAMO Next-generation Web OPAC
Single search box,
Query tools,
Recently added
results
Faceted navigation
Enhanced visual
displays
Cover art,
Summaries,
reviews, TOC
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
32. Scope of Search
1 SCOPE Of SEARCH
2 Books, Journals and Media at the Title, Author, Key
Words Level
3 Other local and open access contents
4 NOT IN SCOPE Of SEARCH
5 Articles
6 Book Chapters
7 Digital objects
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
33. Scope of Search
1 SCOPE Of SEARCH
2 Books, Journals and Media at the Title, Author, Key
Words Level
3 Other local and open access contents
4 NOT IN SCOPE Of SEARCH
5 Articles
6 Book Chapters
7 Digital objects
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
34. Scope of Search
1 SCOPE Of SEARCH
2 Books, Journals and Media at the Title, Author, Key
Words Level
3 Other local and open access contents
4 NOT IN SCOPE Of SEARCH
5 Articles
6 Book Chapters
7 Digital objects
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
35. Scope of Search
1 SCOPE Of SEARCH
2 Books, Journals and Media at the Title, Author, Key
Words Level
3 Other local and open access contents
4 NOT IN SCOPE Of SEARCH
5 Articles
6 Book Chapters
7 Digital objects
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
36. Scope of Search
1 SCOPE Of SEARCH
2 Books, Journals and Media at the Title, Author, Key
Words Level
3 Other local and open access contents
4 NOT IN SCOPE Of SEARCH
5 Articles
6 Book Chapters
7 Digital objects
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
37. Scope of Search
1 SCOPE Of SEARCH
2 Books, Journals and Media at the Title, Author, Key
Words Level
3 Other local and open access contents
4 NOT IN SCOPE Of SEARCH
5 Articles
6 Book Chapters
7 Digital objects
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
38. Scope of Search
1 SCOPE Of SEARCH
2 Books, Journals and Media at the Title, Author, Key
Words Level
3 Other local and open access contents
4 NOT IN SCOPE Of SEARCH
5 Articles
6 Book Chapters
7 Digital objects
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
39. Solution: Web Scale Discovery Service Products
Web-scale discovery services tools that search seamlessly
across a wide range of local and remote content and
provide relevance-ranked results have the ambitious goal
of providing a single point of entry into a library’s
collections
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
40. WSDS: Common Features
1
EDS returns highly relevant search results from
multiple resources, allows researchers to combine
facets, and provides reliable links to full text
2
Fast response time
3
Relevancy-ranked results list
4
Facets, sort, and other tools for refining and using the
results
5
Connections to full text via direct links and OpenURL
6
End-user accounts and features
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
41. WSDS: Common Features
1
EDS returns highly relevant search results from multiple
resources, allows researchers to combine facets, and
provides reliable links to full text
2
Fast response time
3
Relevancy-ranked results list
4
Facets, sort, and other tools for refining and using the
results
5
Connections to full text via direct links and OpenURL
6
End-user accounts and features
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
42. WSDS: Common Features
1
EDS returns highly relevant search results from multiple
resources, allows researchers to combine facets, and
provides reliable links to full text
2
Fast response time
3
Relevancy-ranked results list
4
Facets, sort, and other tools for refining and using the
results
5
Connections to full text via direct links and OpenURL
6
End-user accounts and features
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
43. WSDS: Common Features
1
EDS returns highly relevant search results from multiple
resources, allows researchers to combine facets, and
provides reliable links to full text
2
Fast response time
3
Relevancy-ranked results list
4
Facets, sort, and other tools for refining and
using the results
5
Connections to full text via direct links and OpenURL
6
End-user accounts and features
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
44. WSDS: Common Features
1
EDS returns highly relevant search results from multiple
resources, allows researchers to combine facets, and
provides reliable links to full text
2
Fast response time
3
Relevancy-ranked results list
4
Facets, sort, and other tools for refining and using the
results
5
Connections to full text via direct links and
OpenURL
6
End-user accounts and features
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
45. WSDS: Common Features
1
EDS returns highly relevant search results from multiple
resources, allows researchers to combine facets, and
provides reliable links to full text
2
Fast response time
3
Relevancy-ranked results list
4
Facets, sort, and other tools for refining and using the
results
5
Connections to full text via direct links and OpenURL
6
End-user accounts and features
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
46. WSDS:How it works?
Preharvested Index
Central Index
Discovery layer
Mtually Licensed
Content
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
47. WSDS:How it works?
Preharvested Index
Central Index
Discovery layer
Mtually Licensed
Content
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
48. EBSCO- Web Scale Discovery Service Trial
1
The EDS Base Index represents content from
more than 20,000 providers in addition to
metadata from another 70,000+ book publishers
EDS Base Index currently provides metadata for
the following:
2
Nearly 50,000+ magazines and journals
3
Nearly 6+ million books
4
Nearly 20,000+ conference proceedings
5
825,000+ CDs and DVDs
6
Hundreds of thousands of additional information sources
from various source types
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
49. EBSCO- Web Scale Discovery Service Trial
1
The EDS Base Index represents content from more than
20,000 providers in addition to metadata from another
70,000+ book publishers EDS Base Index currently
provides metadata for the following:
2
Nearly 50,000+ magazines and journals
3
Nearly 6+ million books
4
Nearly 20,000+ conference proceedings
5
825,000+ CDs and DVDs
6
Hundreds of thousands of additional information sources
from various source types
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
50. EBSCO- Web Scale Discovery Service Trial
1
The EDS Base Index represents content from more than
20,000 providers in addition to metadata from another
70,000+ book publishers EDS Base Index currently
provides metadata for the following:
2
Nearly 50,000+ magazines and journals
3
Nearly 6+ million books
4
Nearly 20,000+ conference proceedings
5
825,000+ CDs and DVDs
6
Hundreds of thousands of additional information sources
from various source types
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
51. EBSCO- Web Scale Discovery Service Trial
1
The EDS Base Index represents content from more than
20,000 providers in addition to metadata from another
70,000+ book publishers EDS Base Index currently
provides metadata for the following:
2
Nearly 50,000+ magazines and journals
3
Nearly 6+ million books
4
Nearly 20,000+ conference proceedings
5
825,000+ CDs and DVDs
6
Hundreds of thousands of additional information sources
from various source types
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
52. EBSCO- Web Scale Discovery Service Trial
1
The EDS Base Index represents content from more than
20,000 providers in addition to metadata from another
70,000+ book publishers EDS Base Index currently
provides metadata for the following:
2
Nearly 50,000+ magazines and journals
3
Nearly 6+ million books
4
Nearly 20,000+ conference proceedings
5
825,000+ CDs and DVDs
6
Hundreds of thousands of additional information sources
from various source types
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
53. EBSCO- Web Scale Discovery Service Trial
1
The EDS Base Index represents content from more than
20,000 providers in addition to metadata from another
70,000+ book publishers EDS Base Index currently
provides metadata for the following:
2
Nearly 50,000+ magazines and journals
3
Nearly 6+ million books
4
Nearly 20,000+ conference proceedings
5
825,000+ CDs and DVDs
6
Hundreds of thousands of additional information
sources from various source types
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
54. EBSCO- Web Scale Discovery Service Trial
A single point entry to all the content and services offered
by the library
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
55. EBSCO- Web Scale Discovery Service Trial
A customized search box on the home page allowed the
library to maintain its websites look and feel and reflect its
distinctiveness
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
56. WSDS:Features during Trial
Integrated of all our resources, Customization,,Search Box
integration with our website
Search Box
integration with
our website
A to Z
Catalog (MARC)
Catalog
Integration
Widgets
Web 2.0
Technical Support
Wiki, Training
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
57. WSDS:Features during Trial
Integrated of all our resources, Customization,,Search Box
integration with our website
Search Box
integration with
our website
A to Z
Catalog (MARC)
Catalog
Integration
Widgets
Web 2.0
Technical Support
Wiki, Training
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
58. WSDS:Features during Trial
Integrated of all our resources, Customization,,Search Box
integration with our website
Search Box
integration with
our website
A to Z
Catalog (MARC)
Catalog
Integration
Widgets
Web 2.0
Technical Support
Wiki, Training
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
59. WSDS:Features during Trial
Integrated of all our resources, Customization,,Search Box
integration with our website
Search Box
integration with
our website
A to Z
Catalog (MARC)
Catalog
Integration
Widgets
Web 2.0
Technical Support
Wiki, Training
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
60. WSDS:Features during Trial
Integrated of all our resources, Customization,,Search Box
integration with our website
Search Box
integration with
our website
A to Z
Catalog (MARC)
Catalog
Integration
Widgets
Web 2.0
Technical Support
Wiki, Training
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
61. WSDS:Features during Trial
Integrated of all our resources, Customization,,Search Box
integration with our website
Search Box
integration with
our website
A to Z
Catalog (MARC)
Catalog
Integration
Widgets
Web 2.0
Technical Support
Wiki, Training
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
62. WSDS:Features during Trial
Integrated of all our resources, Customization,,Search Box
integration with our website
Search Box
integration with
our website
A to Z
Catalog (MARC)
Catalog
Integration
Widgets
Web 2.0
Technical Support
Wiki, Training
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
63. Distinctive features of EDS-our experience
1
EDS relevancy ranking is based on library canons
2
Match on subject headings from controlled vocabularies
3
Match on article titles
4
Match on author keywords
5
Match on keywords within abstracts
6
Match on keywords within full text
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
64. Distinctive features of EDS-our experience
1
EDS relevancy ranking is based on library canons
2
Match on subject headings from controlled
vocabularies
3
Match on article titles
4
Match on author keywords
5
Match on keywords within abstracts
6
Match on keywords within full text
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
65. Distinctive features of EDS-our experience
1
EDS relevancy ranking is based on library canons
2
Match on subject headings from controlled vocabularies
3
Match on article titles
4
Match on author keywords
5
Match on keywords within abstracts
6
Match on keywords within full text
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
66. Distinctive features of EDS-our experience
1
EDS relevancy ranking is based on library canons
2
Match on subject headings from controlled vocabularies
3
Match on article titles
4
Match on author keywords
5
Match on keywords within abstracts
6
Match on keywords within full text
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
67. Distinctive features of EDS-our experience
1
EDS relevancy ranking is based on library canons
2
Match on subject headings from controlled vocabularies
3
Match on article titles
4
Match on author keywords
5
Match on keywords within abstracts
6
Match on keywords within full text
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
68. Distinctive features of EDS-our experience
1
EDS relevancy ranking is based on library canons
2
Match on subject headings from controlled vocabularies
3
Match on article titles
4
Match on author keywords
5
Match on keywords within abstracts
6
Match on keywords within full text
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
69. Distinctive features of EDS-our experience
1
Robust Relevance ranking with stated
parameters
2
Rich Metadata for majority of Records
3
Subject Indexing Integration through platform Blending
(INSPEC, PsycINFO etc.)
4
Smart Link and Custom links in addition to Link resolver
5
Additional narrowing down facets which are not present in
other Discovery service
6
Authentication support
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
70. Distinctive features of EDS-our experience
1
Robust Relevance ranking with stated parameters
2
Rich Metadata for majority of Records
3
Subject Indexing Integration through platform Blending
(INSPEC, PsycINFO etc.)
4
Smart Link and Custom links in addition to Link resolver
5
Additional narrowing down facets which are not present in
other Discovery service
6
Authentication support
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
71. Distinctive features of EDS-our experience
1
Robust Relevance ranking with stated parameters
2
Rich Metadata for majority of Records
3
Subject Indexing Integration through platform
Blending (INSPEC, PsycINFO etc.)
4
Smart Link and Custom links in addition to Link resolver
5
Additional narrowing down facets which are not present in
other Discovery service
6
Authentication support
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
72. Distinctive features of EDS-our experience
1
Robust Relevance ranking with stated parameters
2
Rich Metadata for majority of Records
3
Subject Indexing Integration through platform Blending
(INSPEC, PsycINFO etc.)
4
Smart Link and Custom links in addition to Link
resolver
5
Additional narrowing down facets which are not present in
other Discovery service
6
Authentication support
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
73. Distinctive features of EDS-our experience
1
Robust Relevance ranking with stated parameters
2
Rich Metadata for majority of Records
3
Subject Indexing Integration through platform Blending
(INSPEC, PsycINFO etc.)
4
Smart Link and Custom links in addition to Link resolver
5
Additional narrowing down facets which are not
present in other Discovery service
6
Authentication support
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
74. Distinctive features of EDS-our experience
1
Robust Relevance ranking with stated parameters
2
Rich Metadata for majority of Records
3
Subject Indexing Integration through platform Blending
(INSPEC, PsycINFO etc.)
4
Smart Link and Custom links in addition to Link resolver
5
Additional narrowing down facets which are not present in
other Discovery service
6
Authentication support
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
75. Distinctive features of EDS-our experience
Refine search,Source type, Publisher,publications,
Geography, Language and Content provider, , Eigen
Factor, Scimago rank, Google book, summery, review and
Impact factor etc.
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
76. Distinctive features of EDS-our experience
Refine search,Source type, Publisher,publications,
Geography, Language and Content provider, , Eigen
Factor, Scimago rank, Google book, summery, review and
Impact factor etc.
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
77. Distinctive features of EDS-our experience
Refine search,Source type, Publisher,publications,
Geography, Language and Content provider, , Eigen
Factor, Scimago rank, Google book, summery, review and
Impact factor etc.
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
78. Distinctive features of EDS-our experience
Refine search,Source type, Publisher,publications,
Geography, Language and Content provider, , Eigen
Factor, Scimago rank, Google book, summery, review and
Impact factor etc.
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
79. Distinctive features of EDS-our experience
Refine search,Source type, Publisher,publications,
Geography, Language and Content provider, , Eigen
Factor, Scimago rank, Google book, summery, review and
Impact factor etc.
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
80. Distinctive features of EDS-our experience
Refine search,Source type, Publisher,publications,
Geography, Language and Content provider, , Eigen
Factor, Scimago rank, Google book, summery, review and
Impact factor etc.
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
81. Distinctive features of EDS-our experience
Refine search,Source type, Publisher,publications,
Geography, Language and Content provider, , Eigen
Factor, Scimago rank, Google book, summery, review and
Impact factor etc.
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
82. Distinctive features of EDS-our experience
Refine search,Source type, Publisher,publications,
Geography, Language and Content provider, , Eigen
Factor, Scimago rank, Google book, summery, review and
Impact factor etc.
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
83. Distinctive features of EDS-our experience
Refine search,Source type, Publisher,publications,
Geography, Language and Content provider, , Eigen
Factor, Scimago rank, Google book, summery, review and
Impact factor etc.
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
84. Distinctive features of EDS-our experience
Refine search,Source type, Publisher,publications,
Geography, Language and Content provider, , Eigen
Factor, Scimago rank, Google book, summery, review and
Impact factor etc.
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
85. Distinctive features of EDS-our experience
Refine search,Source type, Publisher,publications,
Geography, Language and Content provider, , Eigen
Factor, Scimago rank, Google book, summery, review and
Impact factor etc.
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
86. Distinctive features of EDS-our experience
Refine search,Source type, Publisher,publications,
Geography, Language and Content provider, , Eigen
Factor, Scimago rank, Google book, summery, review and
Impact factor etc.
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
87. Evaluation Parameters
1 No discovery service covers 100 percent data.
2 Make sure that the Discovery base index covers all Major
publishers metadata.
3 The discovery layer has empowered our less-skilled
researchers to find quality materials in one place
4 The ideal Web scale Discovery service is one which helps
you cover the maximum information gap as far as possible.
5 All providers have basic technologies of harvesting,
indexing, link resolves and relevancy algorithms.
6 Always look for what is available beyond the single search
box feature
7 Provision of widgets, customization, API etc.
Ask for trials with full featured and integration
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
88. Evaluation Parameters
1 No discovery service covers 100 percent data.
2 Make sure that the Discovery base index covers all Major
publishers metadata.
3 The discovery layer has empowered our less-skilled
researchers to find quality materials in one place
4 The ideal Web scale Discovery service is one which helps
you cover the maximum information gap as far as possible.
5 All providers have basic technologies of harvesting,
indexing, link resolves and relevancy algorithms.
6 Always look for what is available beyond the single search
box feature
7 Provision of widgets, customization, API etc.
Ask for trials with full featured and integration
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
89. Evaluation Parameters
1 No discovery service covers 100 percent data.
2 Make sure that the Discovery base index covers all Major
publishers metadata.
3 The discovery layer has empowered our less-skilled
researchers to find quality materials in one place
4 The ideal Web scale Discovery service is one which helps
you cover the maximum information gap as far as possible.
5 All providers have basic technologies of harvesting,
indexing, link resolves and relevancy algorithms.
6 Always look for what is available beyond the single search
box feature
7 Provision of widgets, customization, API etc.
Ask for trials with full featured and integration
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
90. Evaluation Parameters
1 No discovery service covers 100 percent data.
2 Make sure that the Discovery base index covers all Major
publishers metadata.
3 The discovery layer has empowered our less-skilled
researchers to find quality materials in one place
4 The ideal Web scale Discovery service is one which helps
you cover the maximum information gap as far as possible.
5 All providers have basic technologies of harvesting,
indexing, link resolves and relevancy algorithms.
6 Always look for what is available beyond the single search
box feature
7 Provision of widgets, customization, API etc.
Ask for trials with full featured and integration
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
91. Evaluation Parameters
1 No discovery service covers 100 percent data.
2 Make sure that the Discovery base index covers all Major
publishers metadata.
3 The discovery layer has empowered our less-skilled
researchers to find quality materials in one place
4 The ideal Web scale Discovery service is one which helps
you cover the maximum information gap as far as possible.
5 All providers have basic technologies of harvesting,
indexing, link resolves and relevancy algorithms.
6 Always look for what is available beyond the single search
box feature
7 Provision of widgets, customization, API etc.
Ask for trials with full featured and integration
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
92. Evaluation Parameters
1 No discovery service covers 100 percent data.
2 Make sure that the Discovery base index covers all Major
publishers metadata.
3 The discovery layer has empowered our less-skilled
researchers to find quality materials in one place
4 The ideal Web scale Discovery service is one which helps
you cover the maximum information gap as far as possible.
5 All providers have basic technologies of harvesting,
indexing, link resolves and relevancy algorithms.
6 Always look for what is available beyond the single search
box feature
7 Provision of widgets, customization, API etc.
Ask for trials with full featured and integration
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
93. Evaluation Parameters
1 No discovery service covers 100 percent data.
2 Make sure that the Discovery base index covers all Major
publishers metadata.
3 The discovery layer has empowered our less-skilled
researchers to find quality materials in one place
4 The ideal Web scale Discovery service is one which helps
you cover the maximum information gap as far as possible.
5 All providers have basic technologies of harvesting,
indexing, link resolves and relevancy algorithms.
6 Always look for what is available beyond the single search
box feature
7 Provision of widgets, customization, API etc.
Ask for trials with full featured and integration
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
94. Evaluation Parameters
1 No discovery service covers 100 percent data.
2 Make sure that the Discovery base index covers all Major
publishers metadata.
3 The discovery layer has empowered our less-skilled
researchers to find quality materials in one place
4 The ideal Web scale Discovery service is one which helps
you cover the maximum information gap as far as possible.
5 All providers have basic technologies of harvesting,
indexing, link resolves and relevancy algorithms.
6 Always look for what is available beyond the single search
box feature
7 Provision of widgets, customization, API etc.
Ask for trials with full featured and integration
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
95. Benefits and Results
1
A single query searches through all of the
library’s collections, bringing the most relevant
results to the surface.
2
Search limiters and filters make the process of sifting
through information faster and easier.
3
The discovery layer has empowered our less-skilled
researchers to find quality materials in one place
4
Integrated search across quality databases and OPAC has
given new life to user’s search experience.
5
User acceptance is high and the need for training or
promotion is minimal. Students and faculty have naturally
gravitated to the search box.
6
Statistics shows remarkable increase in the usage of
electronic resources
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
96. Benefits and Results
1
A single query searches through all of the library’s
collections, bringing the most relevant results to the
surface.
2
Search limiters and filters make the process of
sifting through information faster and easier.
3
The discovery layer has empowered our less-skilled
researchers to find quality materials in one place
4
Integrated search across quality databases and OPAC has
given new life to user’s search experience.
5
User acceptance is high and the need for training or
promotion is minimal. Students and faculty have naturally
gravitated to the search box.
6
Statistics shows remarkable increase in the usage of
electronic resources
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
97. Benefits and Results
1
A single query searches through all of the library’s
collections, bringing the most relevant results to the
surface.
2
Search limiters and filters make the process of sifting
through information faster and easier.
3
The discovery layer has empowered our
less-skilled researchers to find quality materials
in one place
4
Integrated search across quality databases and OPAC has
given new life to user’s search experience.
5
User acceptance is high and the need for training or
promotion is minimal. Students and faculty have naturally
gravitated to the search box.
6
Statistics shows remarkable increase in the usage of
electronic resources
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
98. Benefits and Results
1
A single query searches through all of the library’s
collections, bringing the most relevant results to the
surface.
2
Search limiters and filters make the process of sifting
through information faster and easier.
3
The discovery layer has empowered our less-skilled
researchers to find quality materials in one place
4
Integrated search across quality databases and
OPAC has given new life to user’s search
experience.
5
User acceptance is high and the need for training or
promotion is minimal. Students and faculty have naturally
gravitated to the search box.
6
Statistics shows remarkable increase in the usage of
electronic resources
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
99. Benefits and Results
1
A single query searches through all of the library’s
collections, bringing the most relevant results to the
surface.
2
Search limiters and filters make the process of sifting
through information faster and easier.
3
The discovery layer has empowered our less-skilled
researchers to find quality materials in one place
4
Integrated search across quality databases and OPAC has
given new life to user’s search experience.
5
User acceptance is high and the need for training
or promotion is minimal. Students and faculty
have naturally gravitated to the search box.
6
Statistics shows remarkable increase in the usage of
electronic resources
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
100. Benefits and Results
1
A single query searches through all of the library’s
collections, bringing the most relevant results to the
surface.
2
Search limiters and filters make the process of sifting
through information faster and easier.
3
The discovery layer has empowered our less-skilled
researchers to find quality materials in one place
4
Integrated search across quality databases and OPAC has
given new life to user’s search experience.
5
User acceptance is high and the need for training or
promotion is minimal. Students and faculty have naturally
gravitated to the search box.
6
Statistics shows remarkable increase in the usage
of electronic resources
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
101. Access/Downloads Statistics
Table: EDS Statistics
Year Month Searches FT Download
2014 March 355431 4210
2014 February 274371 3011
2014 January 176941 1661
2013 December 128219 1401
2013 November 179801 2083
2013 October 237581 2034
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
102. Conclusion
1
EEDS justify the following laws of library science
2
Every book (Contents) its reader
3
Save the time of the reader (Single search Box)
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
103. Conclusion
1
EEDS justify the following laws of library science
2
Every book (Contents) its reader
3
Save the time of the reader (Single search Box)
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras
104. Conclusion
1
EEDS justify the following laws of library science
2
Every book (Contents) its reader
3
Save the time of the reader (Single search Box)
Dr. Mahendra N. Jadhav Deputy Librarian IIT Madras Web Scale Discovery Service: An Experience at IIT Madras