Analysis Logic and Procedures for Creating a Test Dataset of MARC 21 Records for the Z39.50 Interoperability Testbed: Phase 1 Testing

One of 28 items in the series: Z-Interop available on this site.

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Description

Report on the logic and procedures to create a test dataset of more than 400,000 (400K) MARC 21 records from the OCLC WorldCat database.

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12 p.

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Moen, William E. & Holmes, Haley K. January 1, 2002.

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This report is part of the collection entitled: UNT Scholarly Works and was provided by the UNT College of Information to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 344 times. More information about this report can be viewed below.

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  • Main Title: Analysis Logic and Procedures for Creating a Test Dataset of MARC 21 Records for the Z39.50 Interoperability Testbed: Phase 1 Testing
  • Series Title: Z-Interop

Description

Report on the logic and procedures to create a test dataset of more than 400,000 (400K) MARC 21 records from the OCLC WorldCat database.

Physical Description

12 p.

Notes

Abstract: This test dataset (hereafter referred to as the dataset) provides a controlled set of data for use in the Z39.50 Interoperability Testbed Project (hereafter referred to as Z-Interop). OCLC selected a 1% weighted sample from its WorldCat database, which contains approximately 45 million records. This document focuses on the analysis procedures used to prepare for Phase 1 Testing in Spring 2002. A subsequent version of this document will address the additional procedures for Phase 2 Testing scheduled for Summer 2002.

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  • January 1, 2002

Added to The UNT Digital Library

  • Oct. 25, 2012, 2:42 p.m.

Description Last Updated

  • April 28, 2014, 2:58 p.m.

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Moen, William E. & Holmes, Haley K. Analysis Logic and Procedures for Creating a Test Dataset of MARC 21 Records for the Z39.50 Interoperability Testbed: Phase 1 Testing, report, January 1, 2002; (https://digital.library.unt.edu/ark:/67531/metadc110994/: accessed June 15, 2025), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Information.

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