DIEW 2020
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Data is a key aspect of the scientific research and the amount and the complexity of scientific data is rapidly increasing. Creating the computer infrastructure which can extract scientific knowledge by linking, processing and analyzing these distributed and diverse data is a crucial issue. This e-Science infrastructure is also a basis for constructing digital repositories which can archive and share valuable knowledge among science communities. As the climate change problem shows, scientific research needs to be conducted collaboratively on a global scale and the distributed data infrastructure which can support various science communities would be indispensable. Based on this motivation, this workshop aims to bring scientists from diverse fields together, and to serve them an opportunity to share their research experiences on how data intensive computing has been facilitating scientific discoveries.
Suggested topic of the workshop includes but not limited to:
Digital Repositories and Data Management, Distributed Data Integration, Metadata and Annotation, Data Provenance, Knowledge discovery, Large-scale scientific data analysis and visualization, Collaboration/workflow tools and technologies, Assimilation and Re-analysis of Data.
eScience Research Fields
Bioinformatics and Medical Science, Physical Sciences and Engineering, Earth & Planetary Sciences, Astronomy, Agriculture & Environmental Science.
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