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In Europe, more than one thousand of laboratories intensively collect data to measure various properties of the Earth. Scientists observe environmental conditions, ecosystems and biological species. The ability to understand complex phenomena (e. g., global warming) and predict trends from spatio-temporal data becomes a major issue in observational science. However, theoretical and technical advances in multi-scale data integration are necessary to achieve this. This paper will present some challenging research directions for integrating such massive multi-scale scientific data.

Multi-Scale Data Integration Challenges in the Observational Science Data Space