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Building Interdisciplinary Data Value Chain by focusing on Geospatial Information

It is said that 80% of the world’s data includes some kind of geospatial aspect or location component (here). The fact, geospatial information are present in science (such as weather prediction), engineering (such as satellite technologies), agriculture (manages local specialty), industry (like car equipped with GPS unit) and social infrastructure (like transport or logistics).

The challenge of this research is to design and build the data value chain by focusing on the shared element “geospatial information”. We are supporting academic research (like research data sharing) and international projects. But also we aim at contributing to social benefit (like business model development or added value analysis) in future.

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