Re-using DSpace to build a repository for freshwater quality data

Speaker(s): 
Conference Track: 
DSpace User Group

Schedule info

Time slot: 
11 July 17:30 - 18:00
Room: 
Coles

Re-using DSpace to build a repository for freshwater quality data

Author(s)
First Name: 
Andrea
Last Name: 
Schweer
Affiliation: 
Information & Technology Services Division, The University of Waikato, Hamilton, New Zealand
First Name: 
Stefan
Last Name: 
Mutter
Affiliation: 
Information & Technology Services Division, The University of Waikato, Hamilton, New Zealand
First Name: 
Deniz
Last Name: 
Özkundakci
Affiliation: 
Centre for Biodiversity and Ecology Research, The University of Waikato, Hamilton, New Zealand
Keywords: 
DSpace; Research Data
Track: 
DSpace User Group
Abstract: 

This presentation describes how we are adapting DSpace to build LERNZdb, a repository for storing and disseminating New Zealand freshwater quality data. While the original intention in this project was to build a database for individual measurements, the repository model turned out to be a very good starting point for meeting the requirements. This allowed us to re-use our DSpace expertise gained from working on institutional publications repositories. After a quick introduction to LERNZdb's aims, data and users, the main emphasis of this presentation is on our DSpace modifications.

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LERNZdb-OR2013.pdf59.48 KB