A4 Refereed article in a conference publication
Data Federation By Using a Governance of Data Framework Artifact as the Tool - conference proceedings version
Authors: Tomi Dahlberg, Tiina Nokkala, Jukka Heikkilä, Marikka Heikkilä
Editors: Jaakkola, H., Thalheim, B., Kiyoki, Y. and Yoshida, N.
Conference name: International conference on information modelling and knowledge bases
Publishing place: Tampere
Publication year: 2016
Book title : Proceedings of the 26th International Conference on Information Modelling and Knowledge Bases - EJC 2016. Tampere
Series title: Publication Series of Tampere University of Technology Pori Department
Number in series: 18
ISBN: 978-952-15-3747-9
ISSN: 2323-8976
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/18629758
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.
Downloadable publication This is an electronic reprint of the original article. |  |
