Opportunity Information: Apply for HHS 2016 ACL NIDILRR DP 0145

  • The HHS-ACL in the income security and social services sector is offering a public funding opportunity titled "Disability and Rehabilitation Research Projects (DRRP) Program: Traumatic Brain Injury (TBI) Model Systems National Data and Statistical Center." and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.433.
  • This funding opportunity was created on Mar 29, 2016 and posted on Mar 29, 2016.
  • Applicants must submit their applications by May 31, 2016. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
  • Each selected applicant is eligible to receive up to $662,500.00 in funding.
  • The number of recipients for this funding is limited to 1 candidate(s).
  • 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), 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, Others (see text field entitled Additional Information on Eligibility for clarification).
Apply for HHS 2016 ACL NIDILRR DP 0145

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Opportunity Summary:

This grant opportunity, issued by the U.S. Department of Health and Human Services Administration for Community Living (HHS-ACL) under the Disability and Rehabilitation Research Projects (DRRP) program, funds a single National Traumatic Brain Injury (TBI) Model Systems National Data and Statistical Center. The overall purpose is to strengthen medical rehabilitation research by making longitudinal research on people with traumatic brain injury more rigorous, consistent, and efficient across the national TBI Model Systems (TBIMS) network. In practical terms, the project is meant to serve as the central hub that enables TBIMS centers to track outcomes and experiences over time using shared standards, high-quality data practices, and strong statistical and methodological support.

At the core of the work is maintaining the national longitudinal database that aggregates data submitted by each TBIMS Model Systems Center. That responsibility goes beyond basic data storage. The funded Data Center is expected to manage and curate the national dataset so it remains usable for long-term, multi-site research, including consistent variable definitions, reliable documentation, and processes that support longitudinal follow-up. Because the TBIMS network collects information over time, the Data Center role is fundamentally about preserving continuity and comparability of data across years and across participating centers, which is essential for credible trend analyses, outcomes research, and evidence development in TBI rehabilitation.

A major emphasis of the opportunity is data quality and research rigor. The Data Center is expected to ensure the collection of high-quality data by actively monitoring data quality from the contributing centers, identifying errors or inconsistencies, and helping sites address problems before they undermine analyses. This includes establishing and enforcing quality assurance procedures, running validation and completeness checks, and providing feedback loops to centers so data issues are corrected systematically rather than case-by-case. The intent is to reduce variation in how data are collected and entered across sites, which is a common barrier to reliable multi-site research.

The opportunity also requires the Data Center to provide training to TBIMS centers on collecting TBIMS data. That means developing guidance, training materials, and technical assistance so staff at model system centers can follow standardized protocols and maintain consistent practices as personnel change over time. Training typically supports accurate administration of assessments, correct coding and entry of variables, and adherence to timelines and follow-up procedures that are critical in longitudinal studies. Alongside training, the Data Center must provide methodological consultation, essentially acting as an expert resource for study design and statistical approaches that help centers conduct rigorous analyses using the shared dataset. This can include consultation on handling missing data, longitudinal modeling, measurement issues, and other advanced methods that improve the validity and interpretability of findings.

In terms of award structure, this is a discretionary grant with one expected award. The award ceiling is $662,500. The funding opportunity number is HHS-2016-ACL-NIDILRR-DP-0145, and it is listed under CFDA 93.433. The original and current closing date for applications was May 31, 2016, with the opportunity posted on March 29, 2016. While the dates reflect the 2016 competition cycle, the summary of duties clarifies the intended scope: a national-level data and statistical center that supports the TBIMS program through centralized database management, quality control, training, and ongoing methodological support.

Eligibility is broad and includes many types of organizations that could credibly run a national data center. Eligible applicants include state, county, and city or township governments; special district governments; independent school districts; public and state-controlled institutions of higher education; private institutions of higher education; federally recognized tribal governments and other tribal organizations; nonprofit organizations with or without 501(c)(3) status (excluding IHEs in those categories); and for-profit organizations other than small businesses. The listing also includes an “Others” category with additional eligibility details referenced in the full announcement. This wide eligibility suggests the agency was primarily focused on capability and infrastructure to operate a national data and statistical center, rather than limiting applicants to a narrow institutional type.

Overall, the opportunity is designed to strengthen the national infrastructure behind TBI rehabilitation research. By funding a centralized Data Center that manages the longitudinal database and provides quality assurance, training, and methodological expertise, the program aims to make multi-center TBI research more consistent, more statistically sound, and more useful for understanding long-term outcomes and improving rehabilitation practices for individuals living with traumatic brain injury.

Frequently Asked Questions (FAQs)

What is this grant opportunity for?

This opportunity funds a single National Traumatic Brain Injury (TBI) Model Systems National Data and Statistical Center under the Disability and Rehabilitation Research Projects (DRRP) program, administered by the U.S. Department of Health and Human Services (HHS), Administration for Community Living (ACL).

What is the overall purpose of the National Data and Statistical Center?

The purpose is to strengthen medical rehabilitation research by making longitudinal research on people with traumatic brain injury more rigorous, consistent, and efficient across the national TBI Model Systems (TBIMS) network. The Data Center functions as a central hub so TBIMS centers can track outcomes and experiences over time using shared standards and strong data and statistical support.

How many awards are expected?

One award is expected.

What type of grant is this?

This is a discretionary grant.

What is the maximum award amount (ceiling)?

The award ceiling is $662,500.

What is the funding opportunity number?

The funding opportunity number is HHS-2016-ACL-NIDILRR-DP-0145.

What is the CFDA number for this opportunity?

The opportunity is listed under CFDA 93.433.

When was the opportunity posted and when did it close?

The opportunity was posted on March 29, 2016. The original and current closing date for applications was May 31, 2016.

What does the funded Data Center have to maintain?

The Data Center is expected to maintain the national longitudinal database that aggregates data submitted by each TBIMS Model Systems Center. This includes managing and curating the dataset so it remains usable for long-term, multi-site research.

Is the Data Center role limited to storing data?

No. The responsibilities go beyond basic data storage. The Data Center is expected to manage and curate the national dataset with consistent variable definitions, reliable documentation, and processes that support longitudinal follow-up across time and across participating centers.

Why is longitudinal consistency across TBIMS centers emphasized?

Because TBIMS centers collect information over time, the Data Center must preserve continuity and comparability across years and sites. This is essential for credible trend analyses, outcomes research, and evidence development in TBI rehabilitation.

What are the data quality expectations for the Data Center?

A major emphasis is ensuring high-quality data by actively monitoring data quality from contributing centers, identifying errors or inconsistencies, and helping sites address problems before analyses are affected.

What kinds of quality assurance activities are expected?

Expected activities include establishing and enforcing quality assurance procedures, running validation and completeness checks, and creating feedback loops so data issues are corrected systematically rather than handled only case-by-case.

How does the Data Center help reduce variation across sites?

The intent is to reduce variation in how data are collected and entered across TBIMS centers by using shared standards, standardized procedures, and ongoing quality monitoring and feedback to improve consistency across sites.

Does the Data Center provide training to TBIMS centers?

Yes. The opportunity requires the Data Center to provide training to TBIMS centers on collecting TBIMS data, including developing guidance, training materials, and technical assistance so staff follow standardized protocols over time.

What topics might training and technical assistance cover?

Training typically supports accurate administration of assessments, correct coding and entry of variables, and adherence to timelines and follow-up procedures that are critical in longitudinal studies.

What is meant by methodological consultation in this opportunity?

The Data Center must provide methodological consultation as an expert resource for study design and statistical approaches that help centers conduct rigorous analyses using the shared dataset.

What statistical or research methods support might the Data Center provide?

Examples noted in the opportunity include consultation on handling missing data, longitudinal modeling, measurement issues, and other advanced methods that improve the validity and interpretability of findings.

Who is eligible to apply?

Eligibility is broad and includes: state, county, and city or township governments; special district governments; independent school districts; public and state-controlled institutions of higher education; private institutions of higher education; federally recognized tribal governments and other tribal organizations; nonprofit organizations with or without 501(c)(3) status (excluding IHEs in those nonprofit categories); and for-profit organizations other than small businesses. The listing also includes an "Others" category with additional eligibility details referenced in the full announcement.

Does the opportunity restrict eligibility to a narrow type of institution?

No. The eligible applicant list is wide, which suggests the agency emphasis is on capability and infrastructure to operate a national data and statistical center rather than limiting applicants to a single institutional type.

What is the relationship between the Data Center and TBIMS Model Systems Centers?

The Data Center serves as the centralized hub supporting TBIMS centers by aggregating their submitted data into a national database and providing shared standards, quality control, training, and methodological and statistical support.

What is the practical impact the program is aiming for?

By supporting centralized database management, quality assurance, training, and ongoing methodological expertise, the program aims to make multi-center TBI research more consistent, more statistically sound, and more useful for understanding long-term outcomes and improving rehabilitation practices for individuals living with traumatic brain injury.

Do the dates in the notice reflect the intended scope of work?

Yes. Even though the posting and closing dates reflect the 2016 competition cycle, the summary of duties describes the intended scope: a national-level data and statistical center supporting the TBIMS program through centralized database management, quality control, training, and methodological support.

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