# BigSDM — International Conference on Big Scientific Data Managemen

- **Submission deadline**: 2018-09-30
- **Notification date**: 2018-10-20
- **Conference date**: 2018-11-30
- **Location**: Beijing, China
- **Conference Partner Index**: 42.1/100 (ranked #4037, confidence 0.25, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking
- **Trackers**: 0
- **Attendees**: 0
- **Canonical page**: https://www.myhuiban.com/conference/2902

## Call for papers

Topics The two-day conference provides an open forum to discuss the opportunities and challenges of a big scientific data ecosystem, and to explore best practices, standards, architectures and data infrastructures for fostering cross-disciplinary discovery and innovation. Topics of interest include, but are not limited to: • Paradigms for enhancing scientific discovery through big data • Framework for helping the science and AI communities to work together • Data cleansing and quality assurance of science data • Data sharing and preservation policy • Data management challenges posed by big scientific data • Machine learning methods to facilitate/accelerate scientific discovery • Streaming data, sensor networks and complex event processing • Scientific workflow management • Science platforms: (hardware/software) tools for data discovery and analysis from different angles • Storage system for large scale scientific applications • Cloud technology for big scientific applications • Scientific data visualisation Paper Submission The online submission system is: https://easychair.org/conferences/?conf=bigsdm2018. Authors may submit to either the full paper or short paper track. Full papers should be between 10 to 12 pages in length, and short papers between 6 to 8 pages. All submissions must be written in English and conform to the Springer LNCS proceedings format(http://www.springer.com/cn/computer-science/lncs/conference-proceedings-guidelines). Accepted papers will be published in LNCS proceeding.

## Related conferences

- Big Data — International Conference on Big Data — https://www.myhuiban.com/conference/1315
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- AAAI — AAAI Conference on Artificial Intelligence — https://www.myhuiban.com/conference/408
- CVPR — IEEE Conference on Computer Vision and Pattern Recognition — https://www.myhuiban.com/conference/407
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## Related journals

- Scientific Data — https://www.myhuiban.com/journal/727
- Journal of Scientific Computing — https://www.myhuiban.com/journal/514
- Journal of Big Data — https://www.myhuiban.com/journal/428
- Big Data Research — https://www.myhuiban.com/journal/357
- IEEE Transactions on Multimedia — https://www.myhuiban.com/journal/152

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Source: Conference Partner — https://www.myhuiban.com/conference/2902 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)