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Tags from MARC 600s Algorithm choices based on cataloging date or item count Facets from MARC, Indexing & & Collection Data

Tags from MARC 600s Algorithm choices based on cataloging date or item count Facets from MARC, Indexing & & Collection Data

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Page 1: Tags from MARC 600s Algorithm choices based on cataloging date or item count Facets from MARC, Indexing & & Collection Data

Tags fromMARC 600s

Algorithm choices based on cataloging date

or item count

Facets from MARC, Indexing &

& Collection Data

Page 2: Tags from MARC 600s Algorithm choices based on cataloging date or item count Facets from MARC, Indexing & & Collection Data

E-resources PulledForward

Pass-ThroughSearches toConsortia

Page 3: Tags from MARC 600s Algorithm choices based on cataloging date or item count Facets from MARC, Indexing & & Collection Data

What makes this possible?

Page 4: Tags from MARC 600s Algorithm choices based on cataloging date or item count Facets from MARC, Indexing & & Collection Data

Cataloging, of course!

Page 5: Tags from MARC 600s Algorithm choices based on cataloging date or item count Facets from MARC, Indexing & & Collection Data

Trends…Libraries personalize the user experience

RSS feeds“My ______”

Users personalize the library experienceRatingsReviewsReading historyReading lists

Catalogs that “soft push”My record feedsRSS feeds from the library (new books, hot topics)Preferred searches / alerts

Page 6: Tags from MARC 600s Algorithm choices based on cataloging date or item count Facets from MARC, Indexing & & Collection Data

Trends…Resource sharing illuminates the possible

The work you do goes farther

Collections exposed

Collections expanded

Usage increases

Page 7: Tags from MARC 600s Algorithm choices based on cataloging date or item count Facets from MARC, Indexing & & Collection Data

NExpress Collection Expansion, Total Bibs at 12/31/07

1,008

919

917

822

778

687

628

5760

0 1000 2000 3000 4000 5000 6000 7000

Total

Middlebury

Wellesley

Williams

Northeastern

Bowdoin

Colby

Bates

In thousands

Page 8: Tags from MARC 600s Algorithm choices based on cataloging date or item count Facets from MARC, Indexing & & Collection Data

NExpress Uniqueness Factor (at 12/31/07)

• Owned by 1 2,261,525 67.82%

• Owned by 2 440,231 13.20%

• Owned by 3 262,162 7.86%

• Owned by 4 157,232 4.72%

• Owned by 5 122,116 3.66%

• Owned by 6+ 91,345 2.74%

• Total Master Bibs 3,334,611

Page 9: Tags from MARC 600s Algorithm choices based on cataloging date or item count Facets from MARC, Indexing & & Collection Data

NExpress Returnables Requests

0

500

1000

1500

2000

2500

3000

3500

Jan Feb March April May June July Aug Sept Oct Nov Dec

2005 2006 2007 2008

Page 10: Tags from MARC 600s Algorithm choices based on cataloging date or item count Facets from MARC, Indexing & & Collection Data

More Trends…Bibliographic record audit trail

Who created the recordMost recent editsBecause systems are integrated, more people in more departments may have authorization to access and edit bib records

Metadata formatsAnecdotal evidence indicates Dublin Core most widely usedArchivists use EADSome others have not been widely acceptedTime for a study?

What is the “business case” for what you want to do?

Page 11: Tags from MARC 600s Algorithm choices based on cataloging date or item count Facets from MARC, Indexing & & Collection Data

More Trends…FRBR? (Functional Requirements for Bibliographic Records)

RDA? (Resource Description and Access)

On the Record: Report of the Library of Congress Working Group on the Future of Bibliographic Control? Awaiting the Library’s official response.

Generational change and the aging of the profession

Page 12: Tags from MARC 600s Algorithm choices based on cataloging date or item count Facets from MARC, Indexing & & Collection Data

Look at the Numbers…• 63 million baby boomers retiring now and over the next 12-20 years• 40% of library managers and 20% of librarians were eligible for retirement

by 2003• Another 33% of librarians are becoming eligible now• Percentage of librarians by age (1999 – 9 years ago!)

20-29 7%30-39 19%40-49 35%50-59 32%60+ 7%

source: http://www.ala.org/ala/hrdr/libraryempresources/agelibrarians.cfm Courtesy Laura Freebairn-Smith, NEILUG Presentation, March 17, 2008

Page 13: Tags from MARC 600s Algorithm choices based on cataloging date or item count Facets from MARC, Indexing & & Collection Data

More Trends…Embryonic MetadataDLF 2007 fall forum, Rick Prelinger - "It's Only a Moving Image: Archives, Access, and the Social Contract“

“My take on this is that we should make available whatever metadata we have as earlier as possible in the stream. Embryonic metadata is just the beginning of metadata, but it still can provide access. We can then follow where the users go, and enrich the metadata into something fuller, as needed (or even have the users do the enriching through tags, annotations, etc.). So, this might be selective enrichment.” Beth Picknally Camden, University of Pennsylvania

Page 14: Tags from MARC 600s Algorithm choices based on cataloging date or item count Facets from MARC, Indexing & & Collection Data

Destination…

Page 15: Tags from MARC 600s Algorithm choices based on cataloging date or item count Facets from MARC, Indexing & & Collection Data

The Home for Tired Librarians?

Page 16: Tags from MARC 600s Algorithm choices based on cataloging date or item count Facets from MARC, Indexing & & Collection Data

No!

Page 17: Tags from MARC 600s Algorithm choices based on cataloging date or item count Facets from MARC, Indexing & & Collection Data

http://www.loc.gov/rr/print/flickr_pilot.html

Page 18: Tags from MARC 600s Algorithm choices based on cataloging date or item count Facets from MARC, Indexing & & Collection Data

http://www.flickr.com/photos/Library_of_Congress

Page 19: Tags from MARC 600s Algorithm choices based on cataloging date or item count Facets from MARC, Indexing & & Collection Data
Page 20: Tags from MARC 600s Algorithm choices based on cataloging date or item count Facets from MARC, Indexing & & Collection Data
Page 21: Tags from MARC 600s Algorithm choices based on cataloging date or item count Facets from MARC, Indexing & & Collection Data

Prairie Bluestem says:I'm a generation younger than this photo, but I grew up on a ranch in northern Nebraska where wemade haystacks. The haystacks were kept outside, and they were shaped to shed water. If they were used during the first winter after they were made, rotting of the hay from moisture was minimal. It wouldn't have been practical to keep all the hay inside because such a great quantity of hay was harvested each year to see the cattle through the long winter. I think this was probably true in 1940 in Colorado also. Also, keep in mind that the annual rainfall isn't that much

in Colorado. The main reason to keep hay inside is to avoid water damage.

The Library of Congress     says:A co-worker mentioned that we have 16mm movie footage showing hay being stacked in the 1940son the Ninety-Six Ranch in Nevada, with a locally made derrick. Accompanied by explanations andnew technology videotaped in the 1980s by the Library's American Folklife Center.

To check it out: memory.loc.gov/ammem/ncrhtml/crmenu3.html

(Searching this American Memory collection using the word "hay" gets you a lot of stills too: memory.loc.gov/ammem/ncrquery.html )

Page 22: Tags from MARC 600s Algorithm choices based on cataloging date or item count Facets from MARC, Indexing & & Collection Data

It’s an opportunity…History of analysisHistory of sharingHistory of service

And

We are the webWe are a tag cloudWe are the glue

Page 23: Tags from MARC 600s Algorithm choices based on cataloging date or item count Facets from MARC, Indexing & & Collection Data

Thank you