Randomized sampling: An approach to extraction of metadata records

Azogu, Olajumoke; Chen, Jiangping

Permalink

https://hdl.handle.net/2142/42101 Copy

Description

Title

Randomized sampling: An approach to extraction of metadata records

Author(s)

• Azogu, Olajumoke
• Chen, Jiangping

Issue Date

2013-02

Keyword(s)

• Algorithm
• Metadata
• Harvesting
• Extraction
• PHP
• OAI-PMH
• Z39.50
• digital curation and preservation
• information services
• information retrieval

Date of Ingest

2013-02-03T05:42:58Z

Abstract

Random samples are desired by researchers to produce results that are generalizable. We present an approach to extract random samples of metadata records from Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) repositories and others such as Z39.50 collections. Based on our approach, we developed PHP scripts to randomly extract 2000 metadata records from two digital repositories. Our approach can be used by others that need to extract representative samples from digital collections.

Publisher

iSchools

Type of Resource

text

Genre of Resource

Conference Poster

Language

en

Permalink

http://hdl.handle.net/2142/42101

DOI

https://doi.org/10.9776/13394

Sponsor(s)/Grant Number(s)

Institute of Museum and Library Services/LG-06-10-0162-10

Copyright and License Information

Copyright © 2013 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.

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