Life science data modelling
Big data infrastructure
Data integration systems
Data models and standards
Linked open data
Machine learning
Query formulation, processing and optimization
Data annotation and maintenance
Ontology and schema matching
Privacy and provenance of life sciences datasets
Ethical, legal and social issues
Data owner sensitive data sharing
