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Auflistung nach Autor:in "Kusche, O."

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  • Konferenzbeitrag
    Challenges of Providing an Internet-based Data Management Infrastructure for a National Supply of Life Cycle Inventory Data
    (Environmental Informatics and Industrial Ecology, 2008) Stadtherr, A.; Düpmeier, C.; Kusche, O.
    To implement political concepts for sustainable development, for example, the Integrated Product Policy (IPP) of the European Union, it is inevitable to facilitate wide application of Life Cycle Assessment (LCA) and related methods in many decision contexts within industry and politics. LCA analyses the whole life cycle of products with respect to sustainability topics like resource usage, emissions, and other environmental impacts. For the efficient and reliable application of LCA, it is necessary that LCA studies are based on consistent, transparent, and quality-assured data. Hence, activities in Europe and worldwide are increasing, which are aimed at establishing national and international databases and supplies for basic Life Cycle Inventory (LCI) data. Apart from being an information and collaboration platform of the scientific community in the field of LCA in Germany, the most important goal of the German Network on Life Cycle Inventory Data (NetLCD, http://www.lci-network.de) is to establish a supply of harmonised, regularly updated, and quality-assured basic data for LCA in Germany (LC Data). The implementation of such an Internet-based IT infrastructure for data and quality management of basic LCI data sets is associated with many technical challenges. In this paper, some of these challenges and the main concepts of the current implementation of the supply of LCI Data will be described by the authors, who are developing the IT infrastructure for NetLCD. Central ideas to face some of the challenges are the usage of XML as a native storage format of LCI data sets within an Oracle database and the integration of the data supply in an Internet portal. The first idea is to overcome limitations of otherwise too hard coded data semantics of data sets. The second idea is to enable the implementation of a workflow-oriented collaborative quality control mechanism on top of the database using a tight integration of quality and review information in the portal, data set representation in the database, and a reviewer as a person.