SBBD welcomes submissions related to the data management area and related issues. Submissions on inter-disciplinary work, as long as there are clear contributions to the management of data are also invited. The topics of interest include, but are not limited to, the following:

  • Cloud data management and blockchains
  • Data and information quality
  • Data annotation and provenance
  • Data cleaning, information filtering, and publishing
  • Data frameworks, ecosystems and database architectures
  • Data mining and analytics
  • Data models and semantics
  • Data privacy and security
  • Data science applications/pipelines
  • Data visualization, user interfaces and database usability
  • Database engines
  • Database monitoring, performance, benchmarking, and tuning
  • Data-centric applications
  • Digital libraries and applications
  • Document management and classification
  • Embedded and mobile databases
  • Experiments and analyses
  • Graphs, networks and semistructured data management
  • Information integration and interoperability
  • Information retrieval
  • In-memory data management
  • Knowledge bases, knowledge graphs, and modeling
  • Machine Learning, AI, data management and data systems
  • Multidimensional and temporal databases
  • NoSQL databases
  • Peer to peer, parallel, distributed or heterogeneous databases
  • Polystore databases
  • Probabilistic, fuzzy and uncertain data management 
  • Profile-based or context-aware data management
  • Query languages and processing 
  • Recommender systems
  • Responsible data management and algorithmic fairness
  • Schema management and design 
  • Self-managed and autonomic databases 
  • Semantic web, linked data and ontologies 
  • Sensor data processing, stream databases and IOT on data 
  • Social networks and crowdsourcing
  • Spatiotemporal databases
  • Specialized and domain-specific data management 
  • Storage, indexing, and physical database design
  • Transaction management, concurrency control and recovery 
  • Web data management  Workflow applications and databases 
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