Supporting Data-Driven Workflows Enabled by Large Scale Observatories

Ali Reza Zamani
Ali Reza Zamani
Daniel Balouek-Thomert
Daniel Balouek-Thomert

eScience, pp. 592-595, 2017.

Cited by: 10|Bibtex|Views14
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

Large scale observatories are shared-use resources that provide open access to data from geographically distributed sensors and instruments. This data has the potential to accelerate scientific discovery. However, seamlessly integrating the data into scientific workflows remains a challenge. In this paper, we summarize our ongoing work in...More

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