Topics of Interest We welcome research papers on every topic related to the principles and theory of data management, provided that there is a clear connection to foundational aspects. This includes, for example, articles on "classical" data management topics such as: The theoretical investigation of various aspects of underlying data management systems (e.g., Indexes, Concurrency and recovery, Distributed and parallel databases, Cloud computing, Privacy and security, Graph databases, Data streams and sketching, Data-centric (business) process management and workflows, Data and knowledge integration and exchange, Data provenance, Views, Data warehouses, Domain-specific databases - multimedia, scientific, spatial, temporal, text data, ...), The design and study of data models and query languages, The development and analysis of algorithms for data management, but also includes papers exploring existing or identifying new connections between data management and other areas, such as the areas of: knowledge representation, semantic web, web services, information retrieval and data mining, machine learning/AI, distributed computing, theoretical computer science. In all of the above, a clear emphasis on foundational aspects is expected. You may want to check https://dblp.org/db/conf/icdt/index.html to get an overview of previous editions of ICDT. The Program Committee reserves the right to desk reject a submission when it is regarded to be out of scope.