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Metadata aggregation and "automated digital libraries": a retrospective on the NSDL experience
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Source International Conference on Digital Libraries archive
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries table of contents
Chapel Hill, NC, USA
SESSION: Supporting education table of contents
Pages: 230 - 239  
Year of Publication: 2006
ISBN:1-59593-354-9
Authors
Carl Lagoze  Cornell Information Science, Ithaca, NY
Dean Krafft  Cornell Information Science, Ithaca, NY
Tim Cornwell  Cornell Information Science, Ithaca, NY
Naomi Dushay  Cornell Information Science, Ithaca, NY
Dean Eckstrom  Cornell Information Science, Ithaca, NY
John Saylor  Cornell University Library, Ithaca, NY
Sponsors
ACM: Association for Computing Machinery
SIGIR: ACM Special Interest Group on Information Retrieval
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 15,   Downloads (12 Months): 169,   Citation Count: 8
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ABSTRACT

Over three years ago, the Core Integration team of the National Science Digital Library (NSDL) implemented a digital library based on metadata aggregation using Dublin Core and OAI-PMH. The initial expectation was that such low-barrier technologies would be relatively easy to automate and administer. While this architectural choice permitted rapid deployment of a production NSDL, our three years of experience have contradicted our original expectations of easy automation and low people cost. We have learned that alleged "low-barrier" standards are often harder to deploy than expected. In this paper we report on this experience and comment on the general cost, the functionality, and the ultimate effectiveness of this architecture.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
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22
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CITED BY  8

Collaborative Colleagues:
Carl Lagoze: colleagues
Dean Krafft: colleagues
Tim Cornwell: colleagues
Naomi Dushay: colleagues
Dean Eckstrom: colleagues
John Saylor: colleagues