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

QIS: A framework for biomedical database federation.

Luis Marenco1, Tzuu-Yi Wang, Gordon Shepherd

  • 1Center for Medical Informatics, Yale University, School of Medicine, New Haven, CT 06520-8009, USA. luis.marenco@yale.edu

Journal of the American Medical Informatics Association : JAMIA
|August 10, 2004
PubMed
Summary
This summary is machine-generated.

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

The Causes and Costs of Surgical Site Infection in Total Hip and Total Knee Arthroplasty: A Retrospective Review of 4,973 Procedures.

The Iowa orthopaedic journal·2025
Same author

Balanced Business Decision-making for Clinical Practices: Fulfilling "Mission" and "Margin".

Plastic and reconstructive surgery. Global open·2024
Same author

Revenue Cycle Management: The Art and the Science.

Plastic and reconstructive surgery. Global open·2024
Same author

Budgets: How They Are Planned, Prepared, and Managed.

Plastic and reconstructive surgery. Global open·2024
Same author

The Importance of Financial Statements in Clinical Practice.

Plastic and reconstructive surgery. Global open·2024
Same author

Testing the Decision Support Tool for Responsible Pain Management for Headache and Facial Pain Diagnosis with Opioid-Risk-Stratified Treatment.

SN comprehensive clinical medicine·2023
Same journal

Digital divide in clinical and operational artificial intelligence adoption and implementation stages: US hospital diffusion patterns and AI deserts.

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

Extending the fundamental theorem of biomedical informatics: a proposal and illustrative examples.

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

Human factors methods for designing safe health information technology: what do the experts think?

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

Equity-by-design for socially assistive robots as digital health tools.

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

Orchestrator multi-agent clinical decision support system for secondary headache diagnosis in primary care.

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

CUI-Curate: a GraphRAG-based framework for automated clinical concept curation for NLP applications.

Journal of the American Medical Informatics Association : JAMIA·2026
See all related articles

The Query Integrator System (QIS) offers robust bioscience data integration from changing sources. It enables seamless data merging from neuroscience and genomics databases, even when data schemas evolve.

Area of Science:

  • Bioinformatics
  • Computational Neuroscience
  • Genomics

Background:

  • Integrating heterogeneous bioscience data is challenging due to constantly evolving data sources.
  • Existing systems struggle to manage dynamic changes in data schemas, leading to integration failures.

Purpose of the Study:

  • To present the Query Integrator System (QIS), a novel database mediator framework.
  • To enable robust and adaptable data integration for biosciences, particularly in neuroscience and genomics.

Main Methods:

  • Developed a framework using standard technologies for broad deployability.
  • Implemented a distributed architecture with network-based, data source, integration, and ontology servers.
  • Utilized metadata and data element mapping to a common ontology.

Related Experiment Videos

  • Employed metadata version difference determination and query decomposition for schema change adaptation.

    • Main Results:

    • QIS is in an advanced prototype stage and is in production use for the SenseLab project.
    • Successfully integrates data from Yale's neuroscience databases with external neuroscience and genomics databases.
    • Provides tools for designing distributed queries and managing metadata evolution.

    Conclusions:

    • QIS provides a robust solution for integrating continuously changing bioscience data.
    • The framework's architecture and methods ensure adaptability to schema alterations.
    • QIS is deployable by administrators with moderate technical expertise, facilitating broader adoption.