Batch Loading Collections into DSpace: Using Perl Scripts for Automation and Quality Control.

Saved in:
Bibliographic Details
Title: Batch Loading Collections into DSpace: Using Perl Scripts for Automation and Quality Control.
Authors: Walsh, Maureen P.1 walsh.260@osu.edu
Source: Information Technology & Libraries. Sep2010, Vol. 29 Issue 3, p117-127. 11p. 1 Black and White Photograph, 2 Diagrams, 1 Chart.
Subject Terms: *Information storage & retrieval systems, *Metadata, Batch processing, Perl (Computer program language), Quality control, Library storage centers, Table of contents (Documentation), Data quality, Workflow
Abstract: This paper describes batch loading workflows developed for the Knowledge Bank, The Ohio State University's institutional repository. In the five years since the inception of the repository approximately 80 percent of the items added to the Knowledge Bank, a DSpace repository, have been batch loaded. Most of the batch loads utilized Perl scripts to automate the process of importing metadata and content files. Custom Perl scripts were used to migrate data from spreadsheets or comma-separated values files into the DSpace archive directory format to build collections and tables of contents and to provide data quality control. Two projects are described to illustrate the process and workflows. [ABSTRACT FROM AUTHOR]
Copyright of Information Technology & Libraries is the property of American Library Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
Description
Abstract:This paper describes batch loading workflows developed for the Knowledge Bank, The Ohio State University's institutional repository. In the five years since the inception of the repository approximately 80 percent of the items added to the Knowledge Bank, a DSpace repository, have been batch loaded. Most of the batch loads utilized Perl scripts to automate the process of importing metadata and content files. Custom Perl scripts were used to migrate data from spreadsheets or comma-separated values files into the DSpace archive directory format to build collections and tables of contents and to provide data quality control. Two projects are described to illustrate the process and workflows. [ABSTRACT FROM AUTHOR]
ISSN:07309295
DOI:10.6017/ital.v29i3.3137