Decomposing MARC 21 Records for Analysis

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Description

This document discusses decomposing MARC 21 records for analysis. To prepare the test dataset of the 1% sample of MARC 21 records from the WorldCat database for use in the Z39.50 Interoperability Testbed, the authors need to be able to efficiently analyze the records to determine relevant records to be returned for a set of test searches. The first step in that analysis is to determine the occurrence of test search terms in specific records. This document describes the general approach for this analysis and identifies specifications for the analysis.

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8 p.

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Moen, William E. October 1, 2002.

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This text is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Information to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 100 times . More information about this text can be viewed below.

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  • Main Title: Decomposing MARC 21 Records for Analysis
  • Series Title: Z-Interop

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Description

This document discusses decomposing MARC 21 records for analysis. To prepare the test dataset of the 1% sample of MARC 21 records from the WorldCat database for use in the Z39.50 Interoperability Testbed, the authors need to be able to efficiently analyze the records to determine relevant records to be returned for a set of test searches. The first step in that analysis is to determine the occurrence of test search terms in specific records. This document describes the general approach for this analysis and identifies specifications for the analysis.

Physical Description

8 p.

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UNT Scholarly Works

Materials from the UNT community's research, creative, and scholarly activities and UNT's Open Access Repository. Access to some items in this collection may be restricted.

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  • October 1, 2002

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  • Oct. 25, 2012, 2:42 p.m.

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  • March 21, 2013, 3:29 p.m.

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Moen, William E. Decomposing MARC 21 Records for Analysis, text, October 1, 2002; (digital.library.unt.edu/ark:/67531/metadc110995/: accessed August 18, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Information.