Data Federation By Using a Governance of Data Framework Artifact as the Tool - conference proceedings version

Widely spread breast cancer takes patients to an early grave. Early detection and ability to predict the effectiveness of treatments are among the means to fight this malignant disease. Data federation from dozens of data sources is needed for data analytics. The granularity, internality, structure and all other characteristics differ in federated data. We discuss alternative approaches to data federation and their theoretical basis, especially the ontology and governance of data. We developed an artifact in our on-going research. The artifact is used to support the federation of cancer data at a university hospital. We detected that our federative approach and the artifact improved the interoperability of data in the case. We suggest that our approach is capable to that also in other contexts.