International Conference on Data Integration Systems in the Life Sciences

• Data Integration Systems in the Life Sciences
  Common data models, elements, and standards
  Ontology mappings and evolution
  Large-scale data analysis for the life sciences
  Architectures and data management techniques for the life sciences
  Query processing and optimization for biological data
  Biological data sharing and update propagation
  Query formulation assistance for scientists
  Modeling of life sciences data
  Schema-matching in life sciences datasets
  Privacy-preserving data integration and management
  Data owner sensitive data sharing
  Biomedical data integration issues in eScience
  Laboratory information management systems in biology (including workflow systems)
  Biomedical metadata management (including provenance)