Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Data integration in eHealth: a domain/disease specific roadmap.

Jenny Ure1, Rob Procter, Maryann Martone

  • 1Generation Scotland. Jenny.Ure@ed.ac.uk

Studies in Health Technology and Informatics
|May 4, 2007
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Comparison of Environmental Microbiomes, Resistomes and Plasmidomes from a Human Tertiary Hospital and Companion Animal Veterinary Hospital in London, UK.

Antibiotics (Basel, Switzerland)·2026
Same author

Good communication with adults with learning disabilities in long-term care settings: A realist review.

Disability and health journal·2026
Same author

Influenza-like illness in cigarette smokers and electronic-cigarette users: a secondary analysis from the PAIVED study.

Frontiers in public health·2026
Same author

Building trust and privacy in cross-border health data sharing for European cancer research.

Radiology advances·2026
Same author

Knowledge, attitudes, and behaviours towards schizophrenia, bipolar disorder, autism, and epilepsy in Ireland: a national survey.

Irish journal of psychological medicine·2026
Same author

Clinical validation of a tissue-agnostic genome-wide methylome enrichment assay to monitor response to pembrolizumab.

NPJ precision oncology·2026
Same journal

A GenAI Pipeline for Violinist Kinematic Data Management.

Studies in health technology and informatics·2026
Same journal

AMAL-For-Qatar: A Comprehensive AI Ecosystem for Fetal Ultrasound Analysis - Project Overview and Achievements.

Studies in health technology and informatics·2026
Same journal

Longitudinal Treatment-Aware Multimodal AI for Dermatology: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Predicting Postpartum Depression Using Imbalance-Aware Machine Learning.

Studies in health technology and informatics·2026
Same journal

Validation of Deep-Learning Models for Autosegmentation of Brain Metastases.

Studies in health technology and informatics·2026
Same journal

Delay-Dependent Gating in Modular RNNs.

Studies in health technology and informatics·2026
See all related articles
This summary is machine-generated.

Workshops addressed data integration challenges in multi-site health research using schizophrenia data. Strategies for shared ontologies and data harmonization were developed for collaborative multi-site trials.

Area of Science:

  • Health Informatics
  • Computational Biology
  • Data Science

Background:

  • Multi-site and multi-scale data integration presents significant challenges in health research.
  • The HealthGrid initiative aimed to address these challenges through collaborative projects.

Purpose of the Study:

  • To document data integration issues and solutions from HealthGrid projects.
  • To propose strategies for ontology building and data harmonization in multi-site health trials.
  • To use schizophrenia research as a specific domain for testing integration approaches.

Main Methods:

  • Conducted data integration workshops at the UK National e-Science Centre in 2006.
  • Analyzed problem/solution scenarios from six HealthGrid projects.
  • Focused on schizophrenia as a domain-specific test case.

Related Experiment Videos

Main Results:

  • Identified key challenges in integrating diverse health datasets.
  • Outlined emerging strategies for collaborative data management.
  • Demonstrated the utility of a domain-specific test case for integration.

Conclusions:

  • Collaboration on shared ontologies is crucial for multi-site health data integration.
  • Data harmonization is essential for successful multi-site clinical trials.
  • The findings provide a foundation for future collaborative health informatics research.