Information for Authors

Topics of Interest

Authors are invited to submit original, unpublished manuscripts. The conference encourages authors to make their experimental results reproducible and include reproducibility experiences in their submissions. Topics of particular interest include, but are not limited to, the following, as they relate to scientific and statistical data management:

• Database support of machine learning and AI
• Modeling of scientific data
• Indexing querying scientific data, spatial and temporal data
• Provenance data management
• Data integration
• Visualization and exploration of large datasets
• Spatial, temporal and spatio-temporal scientific data
• Geographical information retrieval
• Stream data representation and management
• Distributed systems and devices
• Stream data analysis, e.g.,summarization, statistical analysis, pattern matching and discovery, learning, and prediction
• Design, implementation, optimization, and reproducibility of scientific workflows
• Security and privacy
• Cloud computing issues in large-scale data management
• Edge computing
• Graph analytics
• Information retrieval and text mining
• System architectures
• Case studies (e.g., astrophysics, climate, energy, sustainability, biomedicine)
• Internet of Things data analytics
• Smart city applications and services

The submission site is on Easychair.