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Autism Data Science Initiative Funding Opportunities

National Institutes of Health

The purpose of this Research Opportunity Announcement (ROA) is to invite applications from eligible organizations to support the Autism Data Science Initiative (ADSI). ADSI will bring together diverse data resources and community members with lived experience to explore novel contributors and/or to characterize the collective contributions of numerous factors to the causation of autism spectrum disorder (ASD) , hereafter referred to as autism, and their potential role in increasing the prevalence of autism. ADSI will also seek to identify how existing treatments/interventions are used and better understand their outcomes to inform the design of future clinical studies. This initiative will achieve these goals through four strategic aims: 1) to create new integrated data resources, by applying innovative approaches across existing data from research studies or other valid sources, 1 with rigorous privacy protections, for use by the autism research community; 2) to identify and address gaps in available data through targeted data generation; 3) to support the analysis of these integrated data resources that link data on genetic and nongenetic factors (e.g., diagnostic, clinical, behavioral, neurophysiological, pharmaceutical and environmental exposures, complications of pregnancy and peri-natal events) to explore contributors to the causes of autism and/or to identify patterns associated with treatment/intervention outcomes and the use of services for autism; and 4) to provide a venue for replication of these analyses by independent teams to validate findings and increase transparency in the conduct of science.

Research Opportunity Announcement (ROA): OTA-25-006 Autism Data Science initiative

Deadline: June 27, 2025

Specialties

Medical

Medical - Clinical Science

Medical - Basic Science

Medical - Translational

Eligibility Requirements

This ROA will establish the ADSI. Applications from senior/key personnel and groups with the following characteristics are encouraged.

Required #required

For all tasks: A team that includes expertise or demonstrated experience in autism research (e.g., working with and analyzing autism-related data), or data science pertaining to autism or other developmental disabilities.
For all tasks: A team that includes expertise and demonstrated experience in community-engaged research.
Task I: A strong track record of successfully building and/or integrating datasets from disparate data sources/repositories with adherence to data source governance based on expert policy analysis and through implementation of sustainable data integration strategies.
Task II: Demonstrated expertise in the development and use of proposed methodologies or human-centric models for new data generation (e.g., genetic, exposomic, metabolomic, geo-coding, modeling, surveys, qualitative methods, NAMs).
Task III: Demonstrated success exploring and analyzing novel, multi-modal integrated datasets using advanced data science methodologies, such as but not limited to AI, ML, advanced statistical methods and others and adherence to best practices for model transparency and re-use; and expertise in appropriately using data from large repositories containing phenotypic, genomic, environmental, or longitudinal/temporal information; electronic health information data; and/or data from other administrative or real-world data sources for scientific research.
Task IV – Demonstrated expertise in validation, data science, computational reproducibility, and the science of replication; experience using best practices for replication and reproducibility in their prior work.

Sponsor Details

Sponsor Institute/Organizations: National Institutes of Health

Sponsor Type: Government/Federal

Address: National Institutes of Health; 31 Center Drive; MSC 2220; Bethesda; MD 20892-2220; USA

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