Every topic related to the principles of data management is relevant to ICDT. Particularly welcome are contributions that connect data management to theoretical computer science, and those that connect database theory and database practice. In particular, ICDT welcomes contributions in the following areas: -Data models, data structures, algorithms for data management -Database design and semantics, query languages -Computational complexity in data management -Data mining, information extraction, information retrieval -Concurrency and recovery in databases -Distributed and parallel databases, cloud computing -Incompleteness, inconsistency, probability, and general uncertainty in databases -Connections between databases and knowledge representation -Graph databases and (semantic) Web data -Data streams, sketching -Data-centric (business) process management, workflows, Web services -Data/knowledge integration and exchange, data warehouses -Data provenance, views and, metadata management -Domain-specific databases (multimedia, scientific, spatial, temporal, text) -Deductive databases -Data privacy and security -Database aspects of machine learning -Model theory, logic, algebras