Closed FOA-ETA-25-32 CFDA 17.261 Discretionary

Workforce Data Quality Initiative - WDQI Round 10

Posted by Employment and Training Administration

Opportunity snapshot. This Grants.gov announcement — Workforce Data Quality Initiative - WDQI Round 10 — is cataloged under number FOA-ETA-25-32 and tied to CFDA assistance listing 17.261, posted by Employment and Training Administration. Grants.gov currently shows the opportunity as closed, first posted on April 24, 2025. The funding category is Discretionary, delivered as a grant.

Award economics. The award range on file is $100,000 -- $2,500,000. The agency has projected $11.6 million in total estimated funding for this announcement. It expects to issue 5 awards. If the agency funds the expected 5 awards from the $11.6 million estimated pool, the average award works out to roughly $2.3 million. Cost sharing is not required, so applicants do not need to commit matching funds to be competitive on this opportunity. Federal award ranges are often upper bounds; actual allocations reflect program appropriations, the strength of the applicant pool, and the evaluation committee's scoring.

Deadline and action path. This opportunity closed on May 27, 2025. Future funding cycles may be published under the same CFDA number, so monitoring the parent program page is the most reliable way to catch re-announcements. Every Grants.gov submission requires an active SAM.gov registration and a Unique Entity ID. Review the Eligibility section below carefully — federal eligibility categories (nonprofit, state or local government, tribal, individual, educational institution, small business) have distinct registration and reporting requirements. Pre-application outreach to the listed agency contact is permitted and often welcomed — it helps clarify scope and scoring priorities.

Award Range

$100,000 -- $2,500,000

Close Date

May 27, 2025

Applications must be submitted electronically no later than 11:59 pm Eastern Time.

Posted

April 24, 2025

Est. Total Funding

$11,600,000

Expected Awards

5

Instrument

Grant

Description

Questions regarding this Funding Opportunity Announcement (FOA) may be emailed to WDQI_FOA-ETA-25-32@dol.gov. We encourage prospective applicants and interested parties to use the Grants.gov subscription option to register for future updates provided for this particular FOA.

Eligibility

00

Official Listing on Grants.gov

View full details, application forms, and submission instructions.

View on Grants.gov

Agency Contact

Ariam Ferro<br/>WDQI_FOA-ETA-25-32@dol.gov

Key Dates

Posted April 24, 2025
Close Date May 27, 2025
Last Updated April 24, 2025

Frequently Asked Questions

What is this grant opportunity?
This is a federal funding opportunity titled "Workforce Data Quality Initiative - WDQI Round 10", offered by Employment and Training Administration. It is associated with CFDA program 17.261. Questions regarding this Funding Opportunity Announcement (FOA) may be emailed to WDQI_FOA-ETA-25-32@dol.gov. We encourage prospective applicants and interested parties to use the Grants.gov subscript...
Is this opportunity still open?
No, this opportunity is closed. It closed on May 27, 2025. Check the parent program page for future funding cycles.
How much funding is available?
The award range for this opportunity is $100,000 -- $2,500,000. Total estimated funding: $11,600,000. Expected number of awards: 5.
How do I apply?
Applications for federal grant opportunities are typically submitted through Grants.gov. Visit the official listing at grants.gov for application instructions, required documents, and submission deadlines.

Disclaimer: This information is sourced from Grants.gov and SAM.gov and is for informational purposes only. Opportunity details, deadlines, and eligibility requirements change frequently. Always verify current information directly on Grants.gov before applying. PlainGrants is not affiliated with any federal agency.

Related

Data sourced from official U.S. government datasets. See our methodology for details. Retrieved and formatted by PlainGrants Editorial