Trusted Computing: An Elusive Goal


Recent growth in the size and variety of Earth science data has provided unprecedented opportunities to massive data analytics research for understanding the Earth's physical processes. An upsurge of Earth science datasets within the past few decades are being regularly collected using numerous modes of acquisition, at different scales of observation, and in numerous information varieties and formats. Earth science datasets, however, exhibit some unique characteristics (such as adherence to physical properties and spatiotemporal constraints) that present challenges to ancient information-centric approaches. In this article, the authors briefly introduce the different categories of Earth science datasets and further describe some of the key knowledge-centric challenges in analyzing Earth science data.

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