The annual International Conference on Extending Database Technology (EDBT) is a leading international forum for researchers, developers, and users to present and discuss cutting-edge ideas, and to exchange techniques, tools and experiences related to data management.

The conference invites submissions of original research contributions related to all aspects of data management. We particularly encourage submissions that focus on the following themes:

The design and use of novel data science systems
Synergies between database theory and database systems
Synergies between data management and HCI
Synergies between data management and machine learning
Synergies between data management and modern hardware
Ethical, social, and legal issues of database technology

A list of specific topics of interest is provided below and is by no means exhaustive:

Availability, reliability, and scalability
Benchmarking and performance evaluation
Big data storage, processing, and transformation
Cloud data management
Complex event processing and data streams
Concurrency control, recovery, and transaction management
Crowdsourced and collaborative data management
Data economy, data markets
Data integration, heterogeneous data management, and schema integration
Data intensive and data driven systems for ML/AI
Data management and analytics for semantic web and social networks
Data mining and knowledge discovery
Data models and semantics
Data platforms for modern hardware, and modern hardware for data platforms
Data quality, curation, and provenance
Data sovereignty, privacy, security, and access control
Data system benchmarking, tuning, monitoring, and performance evaluation
Data visualization, exploration and user interfaces
Data warehousing, large-scale analytics, and ETL tools
Distributed and parallel data management, distributed ledgers, and blockchains
Graph data management
Green data management
Human-data interaction
Knowledge graphs and knowledge management
Machine learning methods for data and database tuning
Metadata management and standards
Middleware and workflow management
Natural language processing for databases
Query processing and optimization techniques
Querying of unstructured and multimedia datasets
Responsible data management and ethics
Scientific and statistical data management
Semi-structured data management
Sensor, IoT, and mobile data management
Spatial, temporal, and geographic data management
Storage, indexing, and physical database design
Text data management and information retrieval
Uncertain, probabilistic, and approximate data management
Usability, automaticity, interpretability, and explainability of data systems