Leveraging Extant Data to Understand Developmental Trajectories of Late Talking Children (R21 Clinical Trial Not Allowed) | PAR 25 220

Opportunity Information: Apply for PAR 25 220

The National Institutes of Health (NIH) is soliciting applications under the funding opportunity titled "Leveraging Extant Data to Understand Developmental Trajectories of Late Talking Children (R21 Clinical Trial Not Allowed)" (Funding Opportunity Number: PAR-25-220). This is a discretionary grant opportunity using the R21 mechanism, which is typically meant to support early-stage, exploratory, or high-impact projects that can move a field forward without requiring a large, long-term infrastructure commitment at the outset. As indicated by "Clinical Trial Not Allowed," the work supported under this announcement cannot include prospective clinical trials; instead, it is centered on analyses of existing (extant) datasets and on building data resources that the broader research community can use.

The main goal of the NOFO is to deepen scientific understanding of how "late talking" children develop over time, and why outcomes vary across individuals. Late talking generally refers to children who show delays in early expressive language (for example, slower growth in spoken vocabulary or later emergence of word combinations) without necessarily having other obvious developmental conditions at the time the delay is first noted. A key issue in this area is that some late talkers catch up and go on to have typical language and academic outcomes, while others continue to experience persistent language difficulties and may show downstream impacts in reading, learning, attention, or social communication. This program is aimed at using existing data to map those developmental trajectories more clearly, identify early predictors of later outcomes, and probe potential mechanisms and pathways that could explain why different children follow different routes.

A defining feature of the opportunity is its emphasis on leveraging extant data rather than collecting entirely new samples from scratch. Applicants are expected to make strong use of already-collected datasets such as longitudinal cohorts, archived language samples, developmental and educational records, prior intervention study datasets (as long as the proposed work is not a new clinical trial), neurodevelopmental or behavioral datasets, or other repositories that include relevant measures of language development and related domains. The intent is to capitalize on the depth and scale of existing information to answer questions that would be time-consuming or costly to address through de novo data collection, especially questions that require long follow-up windows to observe later school-age or adolescent outcomes.

In addition to analysis, the NOFO explicitly supports the creation of open and shared data resources. That means projects are encouraged not only to produce findings, but also to generate curated, well-documented datasets or harmonized variables that can be reused by other investigators. Examples of what this can look like include pooling and harmonizing measures across multiple studies so results can be compared more directly, creating standardized metadata and codebooks to make language measures interpretable across datasets, developing shared analytic pipelines, or producing cleaned and de-identified datasets with clear documentation that can be deposited into appropriate repositories. The overall push is toward transparency, reuse, and accelerating discovery by reducing the friction that often keeps valuable developmental datasets siloed.

Scientifically, NIH is looking for work that can reveal patterns and predictors of outcomes in late talking children and illuminate potential underlying mechanisms, risk factors, and sequelae. "Patterns and predictors" can include early child factors (such as receptive language, phonological skills, gesture use, processing speed, or broader cognitive measures), family and environmental factors (such as socioeconomic context, caregiver input, bilingual language exposure, access to early supports, or family history), and measurement-based markers derived from extant data (for example, trajectories derived from repeated language assessments or features extracted from recorded speech and language samples). "Underlying mechanisms" points to research that can move beyond description into plausible explanatory pathways, such as how auditory processing, attention, motor planning, social communication, or neurodevelopmental differences might shape language growth. "Risk factors" refers to characteristics that increase the likelihood of persistent difficulties, while "sequelae" highlights the downstream consequences that can follow early language delay, potentially including later literacy challenges, academic difficulties, social-emotional effects, or co-occurring developmental concerns.

This opportunity is open to a wide range of applicant organizations, reflecting NIH's interest in broad participation and the fact that relevant datasets and expertise can exist in many sectors. Eligible applicants include state, county, and city governments; special district governments; independent school districts; public and state-controlled institutions of higher education; private institutions of higher education; federally recognized Native American tribal governments; non-federally recognized tribal organizations; public housing authorities/Indian housing authorities; nonprofits with or without 501(c)(3) status (excluding higher education institutions in those categories); for-profit organizations other than small businesses; and small businesses. The NOFO also highlights additional eligible applicants such as Alaska Native and Native Hawaiian Serving Institutions, Asian American Native American Pacific Islander Serving Institutions (AANAPISIs), Hispanic-serving Institutions, Historically Black Colleges and Universities (HBCUs), Tribally Controlled Colleges and Universities (TCCUs), faith-based or community-based organizations, eligible federal agencies, regional organizations, U.S. territories or possessions, and non-U.S. (foreign) entities. This broad eligibility is especially relevant for data-centric work, since large cohort studies, clinical archives, and educational datasets may be held by universities, health systems, community organizations, government agencies, or international partners.

Key administrative details provided in the source information include an original closing date of 2025-10-02 and a creation date for the opportunity record of 2024-11-20. The opportunity is categorized under health and social services-related activity areas, and it is associated with CFDA numbers 93.173, 93.242, 93.350, and 93.865, which correspond to NIH-related assistance listings. Some typical grant details such as an award ceiling and expected number of awards are not specified in the provided excerpt, so applicants would need to consult the full announcement and NIH guidance for budget expectations and any institute- or program-specific constraints tied to the R21 mechanism.

Taken together, PAR-25-220 is essentially a targeted call for innovative, data-driven projects that use existing datasets to clarify how late talking unfolds across childhood, what early features best predict later outcomes, and what mechanisms may link early language delays to later functioning. Just as importantly, it aims to leave the field with stronger shared data resources so that findings can be replicated, compared across studies, and extended more quickly by other researchers.

• The National Institutes of Health in the health, income security and social services sector is offering a public funding opportunity titled "Leveraging Extant Data to Understand Developmental Trajectories of Late Talking Children (R21 Clinical Trial Not Allowed)" and is now available to receive applicants.
• Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.173, 93.242, 93.350, 93.865.
• This funding opportunity was created on 2024-11-20.
• Applicants must submit their applications by 2025-10-02. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
• Eligible applicants include: State governments, County governments, City or township governments, Special district governments, Independent school districts, Public and State controlled institutions of higher education, Native American tribal governments (Federally recognized), Public housing authorities/Indian housing authorities, Native American tribal organizations (other than Federally recognized tribal governments), Nonprofits having a 501 (c) (3) status with the IRS, other than institutions of higher education, Nonprofits that do not have a 501 (c) (3) status with the IRS, other than institutions of higher education, Private institutions of higher education, For-profit organizations other than small businesses, Small businesses, Others.

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