Difference between revisions of "Parsing Library Data"

Revision as of 00:07, 1 April 2011

The legacy data that libraries must deal with is often challenging to parse algorithmically. MARC is just the first layer--once you peel that back, you find that you have an elaborate mish-mash of elements, each of which with its own idiosyncrasies. This page is meant to serve as a place for the Code4lib community to track and share information, problems, methodologies, code, pseudo-code, etc. about nuts-and-bolts parsing of legacy library data.

Identifiers

Library of Congress Control Number

MARC 21 Field(s): 001 003 010

OCLC Control Number

Marc 21 Field(s): 001 003 035

ISBN

MARC 21 Field(s): 020

• Problems with parsing in MARC
  • Why MARC makes computers cry: Exhibit #273: ISSN/ISBN $z

ISSN

MARC 21 Field(s): 022

• Problems with parsing in MARC
  • Why MARC makes computers cry: Exhibit #273: ISSN/ISBN $z

Dewey Decimal Call Number

MARC 21 Field(s): 082

Library of Congress Call Number

MARC 21 Field(s): 050

• Normalization
  • library-callnumber-lc Project Wiki Page
  • sortLC, code for sorting LCCs

Personal Names

MARC 21 Field(s): (Name Headings) 100 600 700 800; Also X00 - Personal Names-General Information (Uncontrolled Names) 245$c 505$r 511 720

• Parsing name parts
  • Automated Metadata Formatting for Cornell’s Print-on-Demand Books
• Identifying the name of a person that played a particular role
  • Identifying FRBR Work-Level Data in MARC Bibliographic Records for Manifestations of Moving Images

Corporate Names

MARC 21 Field(s): 110 610 710 810; Also X10 - Corporate Names-General Information

• Distinguishing corporate names from personal names
  • Automated Metadata Formatting for Cornell’s Print-on-Demand Books

Titles

MARC 21 Field(s): (Transcribed Titles) 245 505$t (Alternate Titles) 210 222 242 246 247 (Uniform Titles) 130 240 243 630 730 830; Also X30 - Uniform Titles-General Information

• Normalization
  • Deciphering Journal Abbreviations with JAbbr
  • Interpreting MARC: Where's the Bibliographic Data?
• Matching techniques
  • Deciphering Journal Abbreviations with JAbbr
• 245 Indicator 2
  • Parsing titles to determine number of nonfiling characters

Subject Headings

MARC 21 Field(s): 600 610 611 630 648 650 651 653 654 655 656 657 658 662 690-699

URLs

MARC 21 Field(s): 856

• Usage of the 856 MARC Field: A Sample