SQL Data Analysis Procedures to Create Aggregate and Candidate Record Groups on Sample of Decomposed MARC Records Phase 1 Testing

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This document describes the data analysis procedures developed to create the Aggregate and Candidate Record Groups using SQL statements. This is the preliminary version of these procedures tested and validated on a sample of decomposed MARC records. (For a description of how the MARC records were decomposed see the Z-Interop document, Decomposing MARC 21 Records for Analysis. A subsequent version may be necessary as the authors move to the procedures for the entire file of decomposed records.

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13 p.

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Yoon, JungWon & Moen, William E. October 14, 2001.

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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 2635 times , with 150 in the last month . More information about this text can be viewed below.

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  • Main Title: SQL Data Analysis Procedures to Create Aggregate and Candidate Record Groups on Sample of Decomposed MARC Records Phase 1 Testing
  • Series Title: Z-Interop

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Description

This document describes the data analysis procedures developed to create the Aggregate and Candidate Record Groups using SQL statements. This is the preliminary version of these procedures tested and validated on a sample of decomposed MARC records. (For a description of how the MARC records were decomposed see the Z-Interop document, Decomposing MARC 21 Records for Analysis. A subsequent version may be necessary as the authors move to the procedures for the entire file of decomposed records.

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13 p.

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UNT Scholarly Works

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  • October 14, 2001

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  • Oct. 25, 2012, 2:42 p.m.

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  • Dec. 21, 2012, 12:27 p.m.

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Yoon, JungWon & Moen, William E. SQL Data Analysis Procedures to Create Aggregate and Candidate Record Groups on Sample of Decomposed MARC Records Phase 1 Testing, text, October 14, 2001; (digital.library.unt.edu/ark:/67531/metadc111016/: accessed October 16, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Information.