We invite the submission of original research contributions in the following areas as they relate to data management:

    AI for Database Systems and Database Systems for AI
    Benchmarking, Performance Modeling, Tuning, and Testing
    Cloud Data Management
    Crowdsourcing and Data Management
    Data Mining and Knowledge Discovery from a Data Management Perspective (where scalability and efficiency are prominent aspects of the contribution)
    Data Models, Semantics, Query languages
    Data Stream Systems and Edge Computing
    Data Visualization and Interactive Data Exploration
    Database Security and Privacy
    Distributed Ledgers and Blockchains
    Distributed, Parallel and P2P Data Management
    Explainability, Fairness, and Trust in Data Systems and Analysis
    Graphs, Networks, and Semi-structured Data Management
    Information Integration and Data Quality
    IoT Data Management
    Modern Hardware and In-Memory Database Systems
    Query Processing, Indexing, and Optimization
    Transaction Management
    Spatial Databases and Temporal Databases
    Text, Semi-Structured Data, Information Retrieval, and Multimedia Databases
    Uncertain, Probabilistic, and Approximate Databases
    Very Large Data Science Applications/Pipelines
    Workflows, Scientific Data Management

We also welcome any original contributions that may cross the boundaries among areas or point in other novel directions of interest to the database research community.