marcive’s rda conversion service ligia groff, mls
TRANSCRIPT
MARCIVE’s RDA Conversion Service
Ligia Groff, MLS
Company History
MARCIVE, Inc. is a company that has specialized in MARC bibliographic and authorities processing for libraries since its incorporation in 1981.
A privately held company incorporated in the state of Texas, MARCIVE employs 26 permanent staff members and additional staff as workload dictates.
Our Services Authorities Processing RDA Conversion (offered as an add-on to
authorities processing) MARC Record Enrichment (Reading Notes, TOC,
summaries, etc.) Reclassification Retrospective Conversion (card catalogs and
metadata) ERIC MARC Records Enhanced Copy Cataloging (MARCIVE WebSelect) Enhanced GPO Database Service for Depository
Libraries Documents without Shelves (GPO records with
Links) And more!
RDACS includes:
Title field (245)
Supply parallel title in 246 fields if none exists
Move specified terms from end of subfield $a or $b to subfield $c when $c has “by”
And more
Edition statement (250) OPTIONAL
Change select abbreviations to spelled out version, such as “ed.” to “edition.” Includes some foreign languages.
Publication imprint (260) to 264 field(s)
Supply separate brackets for each subfield when multiple subfields are bracketed.
RDACS includes (continued): Physical description (300)
Abbreviations are spelled out.
GMD 245$h replaced by 336, 337, 338 fields
Content Media Carrier (CMC)
336: Content type. What does it contain?
e.g., notated music, spoken word, text, 2D moving images
337: Media type. What device needed to use it?
e.g., audio, computer, microform, projected, video. If none needed except your eyes, it’s unmediated
338: Carrier type. What kind of object carries it?
e.g., Audiocassette, online resource, microfiche, filmstrip
Authority Control and Bib Enhancement with MarciveMark Sandford
William Paterson University
Cheng Library
Voyager 8.2
Approx 435,000 records
Over 100,000 Ebrary records
Authority control on creation, but not ongoing
Thousands of books withdrawn in the past 8 years
Inconsistent handling of problematic headings in Voyager batch processing of authorities
E.g. Name-title entries
Authority Control @ WPU
Initial contract with MARCIVE about 10 years ago
Regular incremental updates
Plan was to do full authority run every 10 years
Had heard of RDA-ification through MARCIVE marketing materials
It was time
Time was running out!
Our choices
Name Authority Files
LCSH Authority Files
MESH Authority Files
Additional processing Addition of RDA CMC (33X fields)
Kept GMD (Just in case (in case of what?))
260 to 264 field*
Lexile, Accelerated Reader, Reading Counts (Curriculum Materials)
Convert relator codes to relator terms
Various cleanup/tidying of fields and normalization
* Required update to our VUFind installation
Working with MARCIVE
Library Information Services and Cataloging completed 11 page profile
No custom processing was needed A la carte options worth a look
Profile sent May 16 Bib file sent to MARCIVE June 5
No existing bibs should be changed as of this date!
June 9 confirmation email from MARCIVE with notification of 2 bad records in our file
June 11 test file received June 12 approval sent to MARCIVE June 19 processed MARC files available via FTP
Loading into Voyager
MARCIVE provides batches of 50,000 records
Voyager suggests loads of 10,000 per batch
MarcEdit to the rescue
Already have Voyager 001s in records, so no complex matching needed
Start Loading!
Keyword Indexing (How NOT to import)
Pre Voyager 9.0 (we were on 8.2)
Default import performed keyword indexing
Generates a temporary index file
Each record loaded takes a tiny bit longer to load than previous record
If temporary file gets too large, the system crashes
Required nightly keyword index regeneration
Only 20k to 30k records per day loaded
1 example log showed 10k record loaded in 2 hours 14 minutes
The NEXT 10k took 4 hours
No Keyword Index (How to import)
Pre Voyager 9.0, Pbulkimport –X (NOKEY Disable keyword index and maintenance)
As of Voyager 9.0, this is the DEFAULT for Pbulkimport
Each batch of 10k took just under 1 hour
3 loads per day vs 8 per day
Single Keyword Regen at project completion
Authorities Records Loads
Decision was made not to wipe out existing authorities database
Voyager retains heading ids to match on – easy!
Also loaded in batches of 10k
Kept the –X switch, but no idea if it mattered
Result logs
In addition to the bib file, we received the following log files:
Reader notes report (for a small fee)
Unrecognized Headings for Corporate Names
Unrecognized Headings for Geographic Names
Unrecognized Headings for LCSH
Unrecognized Headings for Meeting Names
Unrecognized Headings for MESH
Unrecognized Headings for Personal Names
Unrecognized Headings for Series
Some numbers
435866 Total bibliographic records were input
110949 Bibliographic records were changed
435866 Total bibliographic records were output
2195243 Total headings selected for processing
2028671 Authorized headings verified without change
55081 Authorized headings required modification
791 Verified by quality assurance review
18160 Recognized unauthorized headings replaced
2380 Headings matched multiple authorized forms
7634 Undifferentiated personal names
82526 Unrecognized headings left unchanged
312216 Subject geographic subdivisions processed
650388 Subject general subdivisions processed
262315 Subject form subdivisions processed
383 Non-filing indicators corrected
22 $h subfields corrected in a 245 field
LC adult subject headings processed in 6XX(,0)
807771 Total headings processed
799910 99.00% Authorized headings verified without change
2221 0.29% Authorized headings required modification
101 0.01% Verified by quality assurance review
4254 0.54% Recognized unauthorized headings replaced
35 0.00% Headings matched multiple authorized forms
1250 0.15% Unrecognized headings left unchanged
100 Field Personal Names
309813 Total headings processed
288709 93.19% Authorized headings verified without change
6005 1.94% Authorized headings required modification
32 0.01% Verified by quality assurance review
2698 0.87% Recognized unauthorized headings replaced
704 0.23%Headings matched multiple authorized forms
2638 0.85% Undifferentiated personal names
9027 2.91% Unrecognized headings left unchanged
Cleaning Up
Unmatched headings fall into several categories Uncontrolled names from OCLC
Bad MARC data
Example: 651 _0 ‡ aBrass quartets (Baritone, horn, trombone, trumpet), Arranged
Tons of Meeting Names never authorized
Corporate Names never authorized
Hideous computer generated MARC records
Example: 700 1_ ‡a Bailyn, Ph.D., Bernard, ‡e Performer ‡u Adams University Professor, Harvard University, author of Voyagers to the West.
Decide what to agonize over
Questions?
Ligia Groff, MLS
MARCIVE
Come see me at the MARCIVE table!
Mark Sandford, Special Formats Cataloger
William Paterson University