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Prospects for a biodiversity grid: managing biodiversity knowledge

Jones, Andrew Clifford 2006. Prospects for a biodiversity grid: managing biodiversity knowledge. Presented at: Sixth International Symposium on Cluster Computing and the Grid (CCGrid 06), Singapore, 16-19 May 2006. Published in: Turner, Stephen John, Lee, Bu Sung and Cai, Wientong eds. Proceedings of the Sixth International Symposium on Cluster Computing and the Grid: CCGrid 06. Piscataway, NJ: IEEE, p. 42. 10.1109/CCGRID.2006.1630935

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A wide variety of data has been collected by individuals and groups, for use in biodiversity-related scientific research. There is a need to be able to select and combine relevant biodiversity data, perhaps in ways the original creators did not envisage, and to use it in conjunction with other data such as climate data in order to perform analyses to answer important biodiversity questions. In this paper the author outlines the need for biodiversity e-Science problem solving environments underpinned by suitable grids, discussing what one might expect to characterise such a system, and identifying the kinds of problems that need to be solved in order to create a usable environment for biodiversity researchers. Techniques for data access and interoperability are discussed, drawing on experience in the BiodiversityWorld, BioDA and BUFFIE projects. These include the provision of an interoperation platform and the use of ontologies as a basis for determining data transformations. The author then concentrates on a very specific problem in biodiversity e-Science that needs to be addressed. This problem is the variation of opinion among experts which leads to conflicting ways of classifying, naming and describing organisms, and differing opinions about the reliability of other scientists' work. An early prototype created in order to explore these issues, myViews, is described. In this prototype it is possible, among other things, to transform data that reflects a given perspective into another that reflects the user's perspective. The author concludes by discussing the wider relevance of this work and, in particular, its relevance to the provision of metadata relating to biodiversity globally unique identifiers.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords: biodiversity globally unique identifiers, biodiversity grid, biodiversity knowledge, data access, data transformations, e-Science problem solving environments, metadata
Publisher: IEEE
ISBN: 9780769525853
Last Modified: 04 Jun 2017 04:50

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