Data integration in eHealth: a domain/disease specific roadmap

J. Ure, R. Procter, M. Martone, D. Porteous, S. Lloyd, S. Lawrie, D. Job, R. Baldock, A. Philp, D. Liewald, F. Rakebrandt, A. Blaikie, C. McKay, S. Anderson, J. Ainsworth, J. van Hemert, I. Blanquer, R. Sinnott, C. Barillot, F. B. GibaudA. Williams, M. Hartswood, P. Watson, L. Smith, A. Burger, J. Kennedy, H. Gonzalez-Velez, R. Stevens, O. Corcho, R. Morton, P. Linksted, M. Deschenes, M. McGilchrist, P. Johnson, A. Voss, R. Gertz, J. Wardlaw

Research output: Contribution to journalArticlepeer-review


The paper documents a series of data integration workshops held in 2006 at the UK National e-Science Centre, summarizing a range of the problem/solution scenarios in multi-site and multi-scale data integration with six HealthGrid projects using schizophrenia as a domain-specific test case. It outlines emerging strategies, recommendations and objectives for collaboration on shared ontology-building and harmonization of data for multi-site trials in this domain.
Original languageEnglish
Pages (from-to)144-153
Number of pages10
JournalStud Health Technol Inform
Publication statusPublished - 2007


  • data integration e-health psychosis multi-scale imaging ontology integration


Dive into the research topics of 'Data integration in eHealth: a domain/disease specific roadmap'. Together they form a unique fingerprint.

Cite this