Topics of interest include, but are not limited to:

Life Science Data Modelling

• "Big Data" infrastructure

• Data integration systems

• Data models and standards

• Ontology and its evolution

• Architectures and data management techniques

Analysing, Indexing, and Querying Life Sciences Datasets

• Linked Open Data

• Machine Learning

• Query formulation, processing and optimization

Annotating, Matching, and Sharing Life Sciences Datasets

• 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

• Privacy-preserving data integration and management

• Sharing, updating and propagating data