Leveraging Extant Data to Understand Developmental Trajectories of Late Talking Children (R21 Clinical Trial Not Allowed)
ID: 350604Type: Posted
Overview

Buyer

National Institutes of Health (HHS-NIH11)

Award Range

$0 - $275K

Eligible Applicants

Others

Funding Category

Income Security and Social Services

Funding Instrument

Grant

Opportunity Category

Discretionary

Cost Sharing or Matching Requirement

Yes

Original Source

https://grants.gov/search-results-detail/350604

Additional Information

http://grants.nih.gov/grants/guide/pa-files/PAR-24-045.html
Timeline
    Description

    The National Institutes of Health (NIH) is offering a funding opportunity titled "Leveraging Extant Data to Understand Developmental Trajectories of Late Talking Children," aimed at supporting research projects that utilize existing data to explore the developmental patterns of late talking children. The initiative encourages the creation of open data resources to identify predictors and underlying mechanisms affecting language development, with a focus on enhancing data accessibility and sharing within the research community. This grant, categorized under Income Security and Social Services, has a budget ceiling of $275,000 for a two-year period, and applications are due by November 20, 2024. Interested applicants can find more information and guidelines at the NIH grants website or contact NIH Grants Information at grantsinfo@nih.gov for further inquiries.

    Point(s) of Contact
    grantsinfo@nih.gov
    Files
    Title
    Posted
    PAR-24-045-Full-Announcement.html
    PAR-24-045.html
    The Department of Health and Human Services' National Institutes of Health (NIH) has issued a funding opportunity focused on researching late talking in children through the Leveraging Extant Data initiative (NOFO No. PAR-24-045). This R21 Exploratory/Developmental Research Grant encourages projects that utilize existing data to understand the developmental trajectories of late talking children, aiming to identify predictors and underlying mechanisms of their language development. Applications must enhance current data accessibility, promote sharing within the research community, and improve existing dataset utility. Key elements include a budget cap of $275,000 for a two-year period and stringent application guidelines, including a required Data Management and Sharing Plan. Eligible applicants can be various organizations, including educational institutions and non-profits, with a strong emphasis on involving diverse perspectives within research teams. Review criteria for funding prioritize significance, investigator expertise, innovation, approach, and the environment conducive to research. Overall, this initiative addresses critical gaps in research on late talking children, aiming to inform caregivers and professionals while improving data integration and sharing across studies to foster better outcomes within this population. The funded projects are expected to contribute significantly to understanding and advancing practices related to language development in young children.
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