ICT-ENSURE Information System on Literature in the Field of ICT for Environmental Sustainability

ICT-ENSURE Information System on Literature in the Field of ICT for Environmental Sustainability ICT-ENSURE Information System on Literature in the Field of ICT for Environmental Sustainability European Commission European Commission CORDIS Seventh Framework Programme KIT - Karlsruhe Institute of Technology Graz University of Technology, Knowledge Management Institute International Society for Environmental Protection
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Data Quality, Abstraction and Aggregation in the LEDA Traitbase

Authors
Stadler, Michael (OFFIS)
Search for Michael Stadler in Research Programmes Information System
Kunzmann, Dierk (Carl von Ossietzky University of Oldenburg, Landscape Ecology Group)
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Schlegelmilch, Jürgen (OFFIS)
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Sonnenschein, Michael (Carl von Ossietzky University of Oldenburg, Dept. for Computer Science)
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Chapter Track 4: Environmental Data Catalogue
Volume Sh@ring – EnviroInfo 2004 (Part 1)
Conference 18th International Conference "Informatics for Environmental Protection"
Geneva, 2004
Year 2004
Abstract of the Article
In providing an open European-wide web-based database of plant traits relevant for the conservation and sustainable use of biodiversity in changing European landscapes, the LEDA project aims to support different user groups by providing information about plant traits related to the key features of plant dynamics. The trait database (Traitbase) is currently built from scattered national database initiatives, literature sources and new measurements contributed by persons from the ecological and botanical research community.
Here, we discuss the problems of data processing and output customisation arising from the different information needs of three user groups and the heterogeneous data quality in the Traitbase due to the different types of data sources. To this end, we first identify the user groups and their needs. Then, we introduce the terms aggregation and abstraction for the given context. After this, we discuss issues of data quality and finally we go into details of the aggregation methods preferred in generating output for the different user groups.
Pages 515 - 525
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