Integrating Image-Based Research Datasets into an Existing Digital Repository Infrastructure

Description:

Article on integrating image-based research datasets into an existing digital repository infrastructure.

Creator(s):
Creation Date: 2013
Partner(s):
UNT Libraries
Collection(s):
UNT Scholarly Works
Usage:
Total Uses: 107
Past 30 days: 2
Yesterday: 0
Creator (Author):
Tarver, Hannah

University of North Texas

Creator (Author):
Phillips, Mark Edward

University of North Texas

Publisher Info:
Publisher Name: Taylor & Francis
Place of Publication: [New York, New York]
Date(s):
  • Creation: 2013
Description:

Article on integrating image-based research datasets into an existing digital repository infrastructure.

Degree:
Note:

This is an Author's Accepted Manuscript of an article published in Cataloging & Classification Quarterly, 2013, 51(1-3), Copyright Taylor & Francis, available online at: http://www.tandfonline.com/doi/abs/10.1080/01639374.2012.732203

Note:

Abstract: In 2011, the University of North Texas (UNT) Libraries partnered with researchers in the university's academic departments to describe and provide access to items not traditionally included in the UNT Libraries' systems. Including more than 1,400 items apiece, the two projects are considered active datasets by their respective users. Each collection provided new challenges in harmonizing partner, metadata, and end-user requirements. This article discusses the projects, workflow for defining requirements, and final implementation in the UNT Digital Library. These collections serve as a model for integrating other research projects easily and inexpensively into a repository infrastructure.

Physical Description:

20 p.

Language(s):
Subject(s):
Keyword(s): institutional repositories | digital libraries | grant projects | digital images | data management
Source: Cataloging & Classification Quarterly, 2013, New York: Taylor & Francis, pp. 238-250
Partner:
UNT Libraries
Collection:
UNT Scholarly Works
Identifier:
  • DOI: 10.1080/01639374.2012.732203 |
  • ARK: ark:/67531/metadc146603
Resource Type: Article
Format: Text
Rights:
Access: Public
Citation:
Publication Title: Cataloging & Classification Quarterly
Volume: 51
Issue: 1-3
Page Start: 238
Page End: 250
Peer Reviewed: Yes