Data Federation with a Governance of Data Framework Artifact as the Federation Tool: Case on Clinical Breast Cancer Treatment Data

Tomi Dahlberg*, Tiina Nokkala, Jukka Heikkila, Marikka Heikkila

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationINFORMATION MODELLING AND KNOWLEDGE BASES XXVIII
EditorsH Jaakkola, B Thalheim, Y Kiyoki, N Yoshida
PublisherIOS PRESS
Pages31-42
Number of pages12
ISBN (Electronic)978-1-61499-720-7
ISBN (Print)978-1-61499-719-1
DOIs
Publication statusPublished - 2017
MoE publication typeA3 Part of a book or another research book
EventInternational Conference on Information Modelling and Knowledge Bases - Tampere, Finland
Duration: 6 Jun 201610 Jun 2016
Conference number: 26

Publication series

NameFrontiers in Artificial Intelligence and Applications
PublisherIOS PRESS
Volume292
ISSN (Print)0922-6389

Conference

ConferenceInternational Conference on Information Modelling and Knowledge Bases
Abbreviated titleEJC
CountryFinland
CityTampere
Period06/06/201610/06/2016

Keywords

  • Data federation
  • Data ontology
  • Master data management (MDM)
  • Metadata
  • Madical data governance and management
  • INFORMATION-SYSTEMS
  • QUALITY

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