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    Country
    Opportunity Status
    Funding Instrument Type
    Category
    Clear

    Data Standards for Tobacco Research and Scientific Review Phase 2

    FOR-FD-23-027

    Rene A Vasquez Grants Management Specialist

    Opening date 4 May 2023, 12:00AM

    Closing date N/A

    Funding Opportunity Number: FOR-FD-23-027

    Opportunity Category: Discretionary

    Expected Number of Awards: 2

    CFDA Number(s): 93.103 -- Food and Drug Administration Research

    Cost Sharing or Matching Requirement: No

    Posted Date: May 04, 2023 12:00:00 AM EDT

    Closing Date: N/A

    Estimated Total Program Funding: 400000

    Eligible Applicants: Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education,Public and State controlled institutions of higher education,Native American tribal governments (Federally recognized),Independent school districts,Public housing authorities/Indian housing authorities,Special district governments,Small businesses,Private institutions of higher education,Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education,County governments,Native American tribal organizations (other than Federally recognized tribal governments),City or township governments,For profit organizations other than small businesses,State governments

    Description:

    To support high-quality tobacco research, streamline scientific review, and evaluation, and ultimately, improve public health outcomes related to tobacco use, the Center for Tobacco Products (CTP) at the Food and Drug Administration (FDA) is welcoming applications for data standards and terminologies development projects. The primary objective is to support open, consensus-based, data standards for use in studies of tobacco products. Secondary objective is to promote and educate federal regulators, tobacco industry, and global organizations on the use of standardized data to facilitate data sharing, integration, and analysis. Projects may focus on solutions to data standards and terminologies development and implementation challenges and/or on specific concepts, domains, or areas where standardization is needed. 

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