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SCHARE

Science Collaborative for Health disparities and Artificial intelligence Reduction of Errors

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SCHARE is a cloud-based platform for health research designed to:  

  • Leverage population science, place-based, and behavioral Big Data and cloud computing tools to foster a paradigm shift in health disparity and health care delivery outcomes research to generate innovative whole-person health discoveries
  • Advance the use of transparency and sophisticated inquiry to develop innovative strategies and differing perspectives to reduce AI errors
  • Upskill novice untrained users in data science through cloud computing skills training, cross-discipline mentoring, and multi-career–level collaborating on research
  • Provide a data science cloud computing resource for community colleges and low- resource institutions and organizations
  • Offer a project data repository centered on core common data elements for enhanced data interoperability and compliance with NIH Data Management and Sharing Policy

Register for SCHARE

SCHARE Pages

 
  • Think-a-Thons

    Join monthly SCHARE Think-a-Thons to better understand AI and cloud computing terminology, as well as to develop relevant research questions and projects.

  • Core Common Data Elements

    Use CCDEs to ensure consistent data collection when designing research plans, linking data from different sources, and preparing large datasets for AI applications.

  • How to Register for SCHARE

    Click below to learn the process for creating and being approved for a SCHARE account.

  • SCHARE Platform

    Register for SCHARE to access a centralized repository of data, cloud computing tools, and secure workspaces for analysis and collaboration.

  • Collaborative Workspaces

    Cross-link the same publicly available, controlled-access data in a secure, centralized location.

  • Datasets

    Export rich datasets relevant to health disparities, health care delivery, and health outcomes research as a registered SCHARE user.

Dive Deeper

  • Workshop
    A Conceptual Model for Using AI to Advance Health Research
    This webinar provides a framework for fair and ethical AI by covering: AI development pipeline and bias mitigation strategies, how to assess data quality and consistency, and tips and tools for developing fair and ethical AI.
  • Image of a woman and man working with computers.
    Resource
    SCHARE Tutorials and Resources

    Registering for SCHARE allows for access to a wide variety of excellent resources such as articles, videos, courses, and more.

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