The journal "Distributed and Parallel Databases" publishes papers in all traditional and emerging areas of database research, including: availability and reliability; benchmarking, performance evaluation, and tuning; big data storage and processing; cloud computing and database as a service; crowdsourcing; data management, annotation, and provenance; data integration, metadata management, and interoperability; data models, semantics, and query languages; data mining and knowledge discovery; data privacy, security, and trust; data provenance, workflows, and scientific data management; data visualization and interactive data exploration; data warehousing, OLAP, and analytics; graph data management, RDF, and social networks; information extraction and data cleaning; middleware and workflow management; modern hardware and in-memory database systems; query processing and optimization; semantic web and open data; social networks; storage, indexing, and physical database design; streams, sensor networks, and complex event processing; string, text, and keyword search; spatial, temporal, and spatiotemporal databases; transaction processing; and uncertain, probabilistic, and approximate databases.