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You are here: Home / Grant Size / $1 Million to $50 Million / NIH Maternal Health Research Centers of Excellence Data Innovation and Coordinating Hub/Resource Center

NIH Maternal Health Research Centers of Excellence Data Innovation and Coordinating Hub/Resource Center

Dated: August 12, 2022

This Funding Opportunity Announcement (FOA) seeks applications for the Data Innovation and Coordinating Hub/Resource Center (hereafter referred to as “the Innovation Hub”) for the Maternal Health Research Centers of Excellence initiative.

Donor Name: National Institutes of Health

State: All States

County: All Counties

Territory: Commonwealth of Puerto Rico, U.S. Virgin Islands, Guam, American Samoa, Commonwealth of the Northern Mariana Islands

Type of Grant: Grant

Deadline: 12/05/2022

Size of the Grant: up to $2 million

Grant Duration: 7 years

Details:

This FOA seeks applications from investigators with broad expertise and experience in providing an environment of excellence in clinical and public health informatics and in maximizing data comparability with projects proposed in the Research Centers to facilitate harmonization with existing large-scale research efforts. Investigative teams with diverse areas of expertise are encouraged. Data types or sources relevant to the Maternal Health Research Centers of Excellence initiative include patient reported outcomes, electronic health records, claims data, patient registries, vital statistics, healthcare facility organizational data, and national datasets (surveillance, household surveys, US Census, environmental data indexes, etc.). The Data Innovation Hub will support the Research Centers to maximize research efforts and rapidly implement approaches to address the caues of severe maternal morbidity (SMM) and maternal mortality (MM). Whenever possible, applicants should leverage, adopt, or adapt resources from ongoing NIH-supported efforts (e.g., NIH Common Data Elements Repository or the PhenX Toolkit) or other nationally recognized efforts to facilitate comparisons across datasets and/or data integration.

Specific Objectives and Scope of this FOA

It is expected that the Data Innovation Hub will provide 1) a coordination infrastructure to foster communication and collaboration for participating Research Centers and the Implementation Science Hub under the Maternal Health Centers of Excellence initiative, 2) a centralized resource to support data collection, facilitate curation, and ensure high-quality data capture and exploration, and 3) provide cutting edge biomedical research informatics and data science expertise to maximize data comparability and facilitate data harmonization. The Innovation and Data Hub itself will not generate new experimental data, but rather will serve as a resource, analysis tools, and portal for available analytical and data tools and will facilitate sharing of data with the broad research community through submissions to existing data repositories such as the NICHD Data and Specimen Hub (DASH).

Functions of the Data Innovation Hub include but are not limited to:

  • Provide leadership, overall management, and primary oversight of data coordination/data quality assurance and analytics activities for all Research Centers and the Implementation Science Hub under the Maternal Health Centers of Excellence initiative
  • Adapt existing, and if necessary, develop common data elements for maternal health research (e.g., social determinants of health data)
  • Facilitate data coordination, data management, and data analytics activities for projects across the Maternal Health Research Centers of Excellence
  • Utilize existing standards and facilitate in the extraction and transformation of data as collected by the Research Centers and other IMPROVE initiatives as appropriate for use (i.e., enhance the capacity of Research Center institutions and other IMPROVE initiatives to prepare and link data)
  • Develop methods to extract real world data from electronic health records (EHR) for prediction and risk assessment
  • Develop Artificial Intelligence/Machine Learning (AI/ML) data science approaches to data analysis, with an emphasis on approaches that balance ethical concerns as there is a potential for these tools to exacerbate existing health disparities
  • Provide the expertise and infrastructure needed for data management, including standardized acquisition, harmonization, annotation, quality control, timely dissemination, and public accessibility, and capacity to prepare data for submission to relevant data repositories designated by NIH
  • Provide secure data access and analysis environment for participating Research Centers and the Implementation Science Hub researchers and prepare data for submission to relevant NIH data repositories for public sharing
  • Provide technical assistance to Research Centers around innovation in data collection and analytic methods
  • Develop plans/strategies/models for future skills/career development in data science/innovation in one or more populations that experience maternal health disparities, including but not limited to, Blacks/African American, American Indian/Alaska Native, Hispanics/Latino, Asian American, Native Hawaiian and other Pacific Islander, socioeconomically disadvantaged populations, underserved rural populations (e.g., living in obstetrical deserts), sexual and gender minority (SGM) populations. Persons with disabilities are also a priority population.
  • Provide skills development activities that focus on the development of independent researchers to provide mentorship and support research development projects for graduate students, advanced post-doctoral candidates, early career faculty, and investigators who may wish to refocus their careers on data science/innovation.
  • Provide skills development activities to partner community health organizations, such as Tribal Health Community serving organizations.

Funding Information

  • NIH intends to fund one award, corresponding to total costs of up to $2 million in Fiscal Year 2023.
  • The maximum project period is 7 years.

Eligibility Criteria

  • Higher Education Institutions
    • Public/State Controlled Institutions of Higher Education
    • Private Institutions of Higher Education
  • The following types of Higher Education Institutions are always encouraged to apply for NIH support as Public or Private Institutions of Higher Education:
    • Hispanic-serving Institutions
    • Historically Black Colleges and Universities (HBCUs)
    • Tribally Controlled Colleges and Universities (TCCUs)
    • Alaska Native and Native Hawaiian Serving Institutions
    • Asian American Native American Pacific Islander Serving Institutions (AANAPISIs)
  • Nonprofits Other Than Institutions of Higher Education
    • Nonprofits with 501(c)(3) IRS Status (Other than Institutions of Higher Education)
    • Nonprofits without 501(c)(3) IRS Status (Other than Institutions of Higher Education)
  • For-Profit Organizations
    • Small Businesses
    • For-Profit Organizations (Other than Small Businesses)
  • Local Governments
    • State Governments
    • County Governments
    • City or Township Governments
    • Special District Governments
    • Indian/Native American Tribal Governments (Federally Recognized)
    • Indian/Native American Tribal Governments (Other than Federally Recognized)
  • Federal Government
    • Eligible Agencies of the Federal Government
    • U.S. Territory or Possession
  • Other
    • Independent School Districts
    • Public Housing Authorities/Indian Housing Authorities
    • Native American Tribal Organizations (other than Federally recognized tribal governments)
    • Faith-based or Community-based Organizations
    • Regional Organizations.

For more information, visit Grants.gov.

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