In the post-genomic era, biomedical researchers and practitioners will need to manage larger amounts of data. This work package aims to thoroughly study data characteristics and knowledge representation systems, mainly ontologies, currently used in Medical Informatics (MI) and Bioinformatics (BI) and introducing new integrative approaches required to integrate clinical and genetic data.
For physicians, one of these important challenges for the future will be to use new diagnostic procedures based on gene expression profiling. For biologists, to discover relationships between genomic and proteomic information and physiopathological phenomena. Privacy and confidentiality of citizen data and patient records is of the outmost importance. Nevertheless, it is necessary to set up procedures in order to make it compatible with information linkage for research and healthcare purposes.
Deliverable D11: State of the Art on Data Interoperability and Management.
Deliverable D25: Report on Data Interoperability and Management.
