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Aggregation Services & Library Consortia N V Sathyanarayana Informatics (India) Limited, Bangalore, India.

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Presentation on theme: "Aggregation Services & Library Consortia N V Sathyanarayana Informatics (India) Limited, Bangalore, India."— Presentation transcript:

1 Aggregation Services & Library Consortia N V Sathyanarayana Informatics (India) Limited, Bangalore, India.

2 Which is the Oldest Aggregation Service? LIBRARY

3 Aggregation Book is an aggregation of author’s idea Journal is an edited aggregation of articles representing ideas from several authors in a discipline or a special topic. Database is a compiled aggregation of multiple sources of information, presented in a common format & a common interface Library is a full-text aggregator of content they buy and catalog Internet is the largest public aggregator of freely available content

4 USER SEARCH Metadata Aggregation FETCH ARTICLES Full-Text Aggregation Library Document Delivery Agency Pre-Internet Access Model Online Offline

5 USER SEARCH Metadata Aggregation FETCH ARTICLES Full-Text Aggregation Library Document Delivery Agency Post-Internet – Seamless Access Online Offline Publisher Aggregator

6 Single Point Access. Searchability Common display format Content aggregation process is like developing a road map to content. –A map is as good as its index Bibliographic aggregation is a compilation value that provides searchability Full-text aggregation de-brands the content and makes it publisher-neutral at the point of searching Value of Aggregation

7 Content Metadata Tools & Technology Aggregation Levels Indian Consortia need to move forward beyond content level

8 Federated Search Engines –Webfeat, Muse Global Link Resolvers –SFX, 1-Kate, LinkSolver Common usage tracking model –Athens Post Search Aggregation –Reference Manager, EndNote, OAI-PMH for metadata harvesting Tools & Technology

9 Full-Text Content Aggregators Ovid ProQuest Factiva Ebsco J -Stor IEL MedKnow Metadata Aggregators A&I Services (INSPEC, CA, etc.) Portals (like J- Gate) Hosting Services Dialog STN Web of Knowledge Internet Search Engines AOL Google Yahoo Microsoft Aggregators … of different breed

10 Content Aggregation Market AOL Google Yahoo MSN Dialog The Rest ProQuest Factiva LexisNexis

11 Flexible Access & Business Model –Subject Bundles –Pick & Choose –Access Only Model –Third-party Archiving Access to smaller publishers’ content Better software tools for search & navigation Cost Advantage Content Aggregators & Library Consortia

12 Consortia Pricing Model

13 Publishers’ Licensing Restrictions –Embargo –Media restrictions –Contract cancellations Managing Librarian’s wish list –At software level – Great! –At content level, a mixed bag!! Publisher as competitive threat Problem Areas

14 Content Usage Behavior Publisher concerns & Restrictions Pricing Models E-Books VS E-Journals Aggregators are needed more for the Books than for the Journals

15 Library Consortia should take a serious look at aggregation at metadata and technology and level Aggregation model is well in tune with library’s publisher-neutral positioning. Aggregation is a mixed bag. Conclusion

16 Can Library Consortia evolve itself as an aggregator? Challenge


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