PODD: An ontology-driven data repository for collaborative phenomics research

Li, Yuan-Fang, Kennedy, Gavin, Davies, Faith and Hunter, Jane (2010). PODD: An ontology-driven data repository for collaborative phenomics research. In: Gobinda Chowdhury, Chris Koo and Jane Hunter, Lecture Notes in Computer Science : The role of digital libraries in a time of global change. 12th International Conference on Asia-Pacific Digital Libraries, Gold Coast, Qld, Australia, (179-188). 21-25 June, 2010. doi:10.1007/978-3-642-13654-2_22

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads
UQ208087c.pdf HERDC combined application/pdf 655.82KB 0

Author Li, Yuan-Fang
Kennedy, Gavin
Davies, Faith
Hunter, Jane
Title of paper PODD: An ontology-driven data repository for collaborative phenomics research
Conference name 12th International Conference on Asia-Pacific Digital Libraries
Conference location Gold Coast, Qld, Australia
Conference dates 21-25 June, 2010
Proceedings title Lecture Notes in Computer Science : The role of digital libraries in a time of global change   Check publisher's open access policy
Journal name Role of Digital Libraries in a Time of Global Change   Check publisher's open access policy
Place of Publication Berlin, Germany
Publisher Springer
Publication Year 2010
Sub-type Fully published paper
DOI 10.1007/978-3-642-13654-2_22
ISBN 3642136532
9783642136535
ISSN 0302-9743
Editor Gobinda Chowdhury
Chris Koo
Jane Hunter
Volume 6102
Start page 179
End page 188
Total pages 9
Collection year 2011
Language eng
Abstract/Summary Phenomics, the systematic study of phenotypes, is an emerging field of research in biology. It complements genomics, the study of genotypes, and is becoming an increasingly critical tool to understand phenomena such as plant morphology and human diseases. Phenomics studies make use of both high- and low-throughput imaging and measurement devices to capture data, which are subsequently used for analysis. As a result, high volumes of data are generated on a regular basis, making storage, management, annotation and distribution a challenging task. Sufficient contextual information, the metadata, must also be maintained to facilitate the dissemination of these data. The challenge is further complicated by the need to support emerging technologies and processes in phenomics research. This paper describes our effort in designing and developing an ontology-driven, open, extensible data repository to support collaborative phenomics research in Australia.
Subjects E1
0807 Library and Information Studies
0806 Information Systems
Keyword OWL
Ontology
Repository
Phenomics
Data management
Evolution
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 3 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 6 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Sun, 18 Jul 2010, 10:09:58 EST