Data Integration between Swedish National Clinical Health Registries and Biobanks Using an Availability System

  • Ola Spjuth
  • Jani Heikkinen
  • Jan-Eric Litton
  • Juni Palmgren
  • Maria Krestyaninova
Conference paper

DOI: 10.1007/978-3-319-08590-6_3

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8574)
Cite this paper as:
Spjuth O., Heikkinen J., Litton JE., Palmgren J., Krestyaninova M. (2014) Data Integration between Swedish National Clinical Health Registries and Biobanks Using an Availability System. In: Galhardas H., Rahm E. (eds) Data Integration in the Life Sciences. DILS 2014. Lecture Notes in Computer Science, vol 8574. Springer, Cham

Abstract

Linking biobank data, such as molecular profiles, with clinical phenotypes is of great importance in epidemiological and predictive studies. A comprehensive overview of various data sources that can be combined in order to power up a study is a key factor in the design. Clinical data stored in health registries and biobank data in research projects are commonly provisioned in different database systems and governed by separate organizations, making the integration process challenging and hampering biomedical investigations. We here describe the integration of data on prostate cancer from a clinical health registry with data from a biobank, and its provisioning in the SAIL availability system. We demonstrate the implications of using the actual raw data, data transformed to availability data, and availability data which has been subjected to anonymization techniques to reduce the risk of re-identification. Our results show that an availability system such as SAIL with integrated clinical and biobank data can be a valuable tool for planning new studies and finding interesting subsets to investigate further. We also show that an availability system can deliver useful insights even when the data has been subjected to anonymization techniques.

Keywords

Data integration health registry biobanks availability system anonymization 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Ola Spjuth
    • 1
  • Jani Heikkinen
    • 2
    • 3
  • Jan-Eric Litton
    • 1
  • Juni Palmgren
    • 1
    • 3
  • Maria Krestyaninova
    • 2
    • 3
    • 4
  1. 1.Department of Medical Epidemiology and Biostatistics and Swedish e-Science Research CenterKarolinska InstitutetStockholmSweden
  2. 2.Uniquer SarlLausanneSwitzerland
  3. 3.Institute for Molecular Medicine Finland FIMMUniversity of HelsinkiHelsinkiFinland
  4. 4.EawagDübendorfSwitzerland

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