Paper Info
Title
Data Federation with a Governance of Data Framework Artifact as the FederationTool - Case on Clinical Breast Cancer Treatment Data.
Abstract
Widely spread breast cancer takes patients to an early grave. Early detection and the ability to predict the effectiveness of treatments are among the means used to fight various malignant cancers. Data federation from multiple data sources is needed for data analytics. Granularity, internality, structure and other characteristics often differ in federated data. We discuss alternative approaches to data federation and their theoretical basis, especially the stance regarding the ontology of data. We also develop an artifact to federate cancer data at a university hospital. Our approach and the artifact improved data interoperability, i.e., data federation. We suggest the same to be repeated in other data federation contexts.
Year
DOI
Venue
2016
10.3233/978-1-61499-720-7-31
Frontiers in Artificial Intelligence and Applications
Keywords
Field
DocType
Data federation,Data ontology,Master data management (MDM),Metadata,Madical data governance and management
Data science,Data mining,Discrete mathematics,Corporate governance,Breast cancer,Mathematics
Conference
Volume
ISSN
Citations 
292
0922-6389
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Tomi Dahlberg126215.13
Tiina Nokkala200.34
Jukka Heikkilä35713.59
Marikka Heikkilä4245.98