Themes
We invite contributions on Big Data from Space addressing data volume, velocity, variety and veracity.
Major topics include, but are not limited to:
Major topics include, but are not limited to:
- physical models for sensors and simulations
- data models for sensor, signal, image, simulation, engineering and statistics data
- data assimilation linked data, semantic web
- spatio-temporal and multi-temporal analysi
- data lifecycle, including acquisition/sensing, cleaning, categorizing, sharing
- pattern recognition and knowledge discovery
- data mining, data analytics, visual data analytics
- data and information visualization
- data access and processing paradigms
- multidimensional, NoSQL and NewSQL databases
- data compression and decompression
- distributed service architectures, high performance computing, cloud computing (IaaS, PaaS, SaaS), virtualization
- new and low cost hardware (FPGA, GPU, ASIC, SSD, quantum computing,…)
- cyberinfrastructure for scientific computing and eScience
- cybersecurity
- standards and their use
- data use: data quality, provenance, trust, privacy
- Big Data use cases in Earth, Space & Engineering
- reference data and benchmarks
