About this resource

    Type of resources
    Reading
    Education level(s)
    College / Upper Division (Undergraduates), Graduate / Professional
    Primary user(s)
    Student, Teacher
    Subject area(s)
    Business and Communication, Life Science
    Language(s)
    English
    Cluster
    FAIR Data and Materials
    Last updated
    15 September 2026

    VA Big Data Science: A Model for Improved National Pandemic Response Present and Future

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    Level College / Upper Division (Undergraduates), Graduate / Professional · For Student, Teacher · Language English

    Abstract

    Background The US Department of Veterans Affairs (VA) enterprise approach to research (VA Research) has built a data-sharing framework available to all research teams within VA. Combined with robust analytic systems and tools available for investigators, VA Research has produced actionable results during the COVID-19 pandemic. Big data science techniques applied to VA’s health care data demonstrate that medical research can be performed quickly and judiciously during nationwide health care emergencies.

    Observations We envision a common framework of data collection, management, and surveillance implemented in partnership with other health care agencies that would capture even broader, actionable, and timely observational data on populations, while providing opportunities for enhanced collaborative research across agencies. This model should be continued and expanded through the current COVID-19 and future pandemics.

    Conclusions Extending the achievements of VA Research in the COVID-19 pandemic to date, we advocate national goals of open science by working toward a synergistic national framework of anonymized, synchronized, shared health data that would provide researchers with potent tools to combat future public health crises.

    Keywords Veteran Affairs · Data Sharing · COVID-19 · Medical Research · Healthcare