Views on Record Sharing
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Talk given at the ALCTS forum during ALA Midwinter conference on 26-Jan-2009 in Denver, Colorado. For an approximate text transcription of the talk, see http://dltj.org/article/oclc-records-use-policy-1/ and http://dltj.org/article/oclc-records-use-policy-2/
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Views on Record Sharing
- 1. Views on Record Sharing This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 United States License. To view a copy of this license, visit http://creativecommons.org/ licenses/by-sa/3.0/us/ or send a letter to Creative Commons, 543 Howard Street, 5th Floor, San Francisco, California, 94105, USA. Other rights are available; please contact the author for more information. Attributed photographs from Flikr, used under Creative Commons derivatives-okay licenses. Unattributed photographs from royalty free stock photo services.
- 2. Presentation Outline • Sources of Records • How Descriptions Are/Can-Be Generated • Ownership of Records • Right to Reuse • Strengthening the Cooperative
- 3. Sources of Records Sources of Records “pipes of pan” by Lele
- 4. Human-Generated Records Human-Generated Surrogate Records “Hand-written catalog card” by Andrea Mercado
- 5. Machine Generated David Weinberger Records Google Tech Talk, May 10, 2007 “Everything is Miscellaneous” http://video.google.com/videoplay?docid=2159021324062223592
- 6. David Weinberger, “Everything is http://video.google.com/videoplay?docid=2159021324062223592
- 7. Machine-Generated Machine Generated Records Surrogate Records “Heady days.” by JanneM
- 8. Ownership of Records Ownership of Records “If the real Sequoias espoused the idea of land ownership...” by IndyDina and Mr. Wonderful
- 9. Record Right to Reuse Reuse “green recycle cycle necklace” by jamieleto
- 10. Strengthening the Cooperative “power pole in the sunlight...” by gin_able
- 11. Parting Thoughts “Lonely in golden place!” by khalid almasoud
- 12. Peter Murray, OhioLINK Disruptive Library Technology Jester http://dltj.org/ “Jester” by Todd Sternisha
Editor's Notes
- Why we have records -- surrogates for the desired object
- Build indexes. The better the surrogate, the better the results
- OCLC, Z39.50 gets us LC and OhioLINK, Biblios.net, Open Library
- These are all Human-Generated records
- “Catalogers” -> “Descriptionists”
- Use taxonomies and ontologies to create the surrogate records
- “Metadata” -- what is known -- to “Data” what is sought
- Google’s experiment in computational analytics
- Relying on the text of the item itself to be the descriptive surrogate; Examines every word
- Amazon’s “Key Phrases” techniques -- Capitalized Phrases and Statistically Impossible Phrases form the surrogate
- Which is better?