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PODD: An Ontology-Driven Data Repository for Collaborative Phenomics Research

  • Yuan-Fang Li
  • Gavin Kennedy
  • Faith Davies
  • Jane Hunter
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6102)

Abstract

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.

Keywords

OWL ontology repository phenomics data management 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Yuan-Fang Li
    • 1
  • Gavin Kennedy
    • 1
  • Faith Davies
    • 1
  • Jane Hunter
    • 1
  1. 1.School of ITEEThe University of Queensland 

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