Event:International Workshop on Climate Change Data Challenges
From Wikiprogress.org
| Event:International Workshop on Climate Change Data Challenges | |
|---|---|
| Date | 01/06/2011 |
| City | Tsukuba |
| Country | Japan |
| Summary | Summary::International Workshop on Climate Change Data Challenges |
The International Workshop on Climate Change Data Challenges will be held from June 1 - June 3, 2011 at the University of Tsukuba, Japan.
About
Climate change scientists are expected to generate hundreds of exabytes of data distributed across heterogeneous storage resources for access, integration, analysis, pre and post-processing, visualization and mining. Significant improvements in the data management field therefore will be critical to increase research productivity in solving complex scientific problems. In this context, several challenges and issues need to be further investigated and addressed.
The C2DC workshop includes challenging topics like data preservation, data curation, long term access, metadata schemas, mark-up languages, multi-dimensional data modeling, data discovery, metadata management, harvesting, semantic interoperability, ontologies, data access, integration, provenance, storage, analysis, mining, exa-bytes systems, etc.
The workshop will provide a contribution to the Computational Science field:
- bringing together researchers and practitioners to (i) identify and explore open issues and challenges as well as to (ii) discuss and propose novel data management solutions in the climate change field.
- providing a forum for free exchange of ideas and will be featured by invited talks and refereed paper presentations.
- addressing challenging data management issues and topics, including Exa-bytes systems.
- reporting about novel, interesting and emerging scientific data-oriented initiatives in the climate change domain.
Workshop focus
The workshop solicits novel papers on a broad range of topics, including but not limited to:
- data preservation, data curation, long term access
- metadata schemas, mark-up languages
- multi-dimensional data modeling
- data discovery, metadata management, harvesting
- semantic interoperability, ontologies
- data access, integration, provenance, storage, analysis, mining
-exa-bytes systems, challenges and issues
-high performance data management
-digital libraries
-high performance data mining
-data security and privacy,
-scientific data gateways
-distributed metadata management
-dataflow management,
-high performance storage management,
-replication, indexing, caching and load balancing in distributed environments,
-data grid/clouds & data virtualization for climate change,
-real cases, testbeds and international projects facing climate change data challenges.
External links
