University of Illinois Urbana-Champaign

Randomized sampling: An approach to extraction of metadata records

Azogu, Olajumoke; Chen, Jiangping

Permalink

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

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
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
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.

Owning Collections

iConference 2013 poster abstracts PRIMARY