Topics of Interest

DILS provides a forum for the discussion of various aspects of data integration andmanagement in the life sciences, including challenges and technical solutions to address them.

Topics of interest include, but are not limited to:

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
Biomedical data integration issues in eScience
Laboratory information management systems in biology (including workflow systems)
Quality assurance in integrated data repositories
Biomedical metadata management (including provenance)
Mining integrated life sciences data and text resources
Standards for biomedical data integration and annotation
Scientific results arising from innovative data integration solutions
Exposing biomedical data for integration (APIs, Linked Open Data, SPARQL endpoints)
Data integration in clinical and translational research
Integration of genotypic and phenotypic data
Challenges and opportunities with "big data" in the life sciences
Ethical, legal and social issues with biomedical data integration