Harnessing the Power of Scientific Data Warehouses
Data warehousing architecture should generally protect the confidentiality of data before it can be published, provide sufficient granularity to enable scientists to variously manipulate data, support robust metadata services, and define standardized spatial components. Data can then be transformed...
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| Format: | Article |
| Language: | English |
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International Institute of Informatics and Cybernetics
2005-04-01
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| Series: | Journal of Systemics, Cybernetics and Informatics |
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| Online Access: | http://www.iiisci.org/Journal/CV$/sci/pdfs/P236304.pdf
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