OVERVIEW
With the launch of NASA’s Solar Dynamics Observatory (SDO) mission on 02/11/2010, researchers in solar physics have entered the era of Big Data. The Big Data challenges in Solar Astronomy are expected to grow even further with the lunch of the Daniel K. Inouye Solar Telescope (DKIST), currently under construction in Hawaii. The goal of the SABID workshop it to provide exposure to the current interdisciplinary works of computer scientists and engineers, statisticians, and solar physicists conducted on solar astronomy big data. Organizers of SABID 2014 workshop solicit high-quality original research papers (including significant works-in-progress) in ANY aspect of Solar Astronomy Big Data 5V’s (Volume, Velocity, Variety, Value and Veracity) that contribute to the open solar physics research questions. This includes but is not limited to the following:
1) Foundations for Solar Astronomy Big Data Management
a) New Computational Models for Storage, Distribution and Processing of Solar Astronomy Data
b) Evaluation of Information Quality for the Solar Astronomy Data from Telescopes, as well as Derived Data Products (Meta-Data)
c) New Scientific Standards for Solar Information Processing and Information Quality Evaluation
d) System Architectures, Design and Deployment of Solar Data Archives, Portals and Services
e) Data Management and Stream Computing for Solar Astronomy Data in Cloud and Distributed Environments
f) Integration of Heterogeneous Solar Information from Multiple Data Repositories
2) Solar Data Retrieval, Visualization, Recognition and Data-Driven Analyses
a) New Computational Models for Search, Retrieval, and Analysis of Solar Astronomy Data
b) Scalable Algorithms and Systems for Solar Activity Recognition (e.g. Computer Vision) from Solar Big Data Repositories
c) Solar Astronomy Data Search Architectures, their Scalability, Efficiency, and Real-life Usefulness, Visualization Tools for Large-scale Solar Astronomy Data
d) Computational Modeling and Solar Data Integration
e) Cloud, Distributed, and Stream Data Mining for Big Velocity Solar Astronomy Data
f) Semantic-based Solar Data Mining for Big Variety Solar Information
g) Multimedia, Multi-structured, and Spatiotemporal Solar Data Mining
h) New Programming Models for Solar Data, including and beyond Hadoop and MapReduce
3) Computer Applications related to Solar Astronomy Big Data (Big Value in Solar Data)
a) Complex Solar Weather Applications in Science, Engineering, Education, Navigation, Power Grids, and Telecommunication for Government, Public and Private Industry Sectors
b) Real-life Case Studies of Big Value Creation through Solar Data Analytics (e.g. Space Weather)
c) Experiences with Big Data Project Deployments in Solar Physics
d) Solar Astronomy Data and Knowledge Distribution in the Social Web

PAPER SUBMISSION
Please submit a full-length paper (up to 9 page IEEE 2-column format) through the online submission system: http://wi-lab.com/cyberchair/2014/bigdata14/cbc_index.php Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines. All papers after being carefully reviewed by at least 2 PC members and accepted for our workshop will be included in the IEEE International Conference BigData 2014 (http://cci.drexel.edu/bigdata/bigdata2014/) Proceedings published by the IEEE Computer Society Press (also included in the IEEE Digital Library), and made available at the conference.
Selected papers (after their expansion and second round of independent revisions) will be invited into a special journal issue. We contacted the editorial board of Elsevier’s journal on “Astronomy and Computing” and received encouraging response about the possibility of offering a special issue of this journal based on the works presented during the SABID 2014 workshop.

IMPORTANT DATES
Aug 30, 2014: Due date for full workshop papers submission
Sept 20, 2014: Notification of paper acceptance to authors
Oct 5, 2014: Camera-ready of accepted papers
October 27-30 2014: Workshop during IEEE International Conference on Big Data 2014 (http://cci.drexel.edu/bigdata/bigdata2014/)

FURTHER INFORMATION
The full call-for-papers, and more detailes on the SABID workshop, visit our web site:
http://www.cs.gsu.edu/rangryk/workshops/SABID14/