Grants / Department of Labor / Employment and Training Administration

FOA-ETA-21-05: Workforce Data Quality Initiative – WDQI Round 8

Closed Closed April 26, 2021 Opportunity FOA-ETA-21-05 ☆ Save

This grant is closed. Who won this program's grants before is below, and similar open grants are at the end of the page. It is in our archive of Employment and Training Administration notices from 2021.

• Award ceiling$2.9 million
• Total funding$11.6 million
• Expected awards7
• Cost sharingNot required
• Funding typeGrant

Key dates

Who can apply

This opportunity was open to the applicants described in the notice.

• Others (see text field entitled "Additional Information on Eligibility" for clarification)

The following organizations are eligible to apply: • State Workforce Agencies (SWAs) - SWAs in the 50 States, the District of Columbia, the Commonwealth of Puerto Rico, the U.S. Virgin Islands, American Samoa, Guam, and the Commonwealth of the Northern Mariana Islands. • Among the eligible applicants listed above, SWAs planning to apply for the $2,900,000 award that identify as a LP2 will be given priority of selection. Applicants that previously received three or more WDQI grants are ineligible to apply. The following States’ SWAs have received three or more WDQI grants and are ineligible for this reason: Maine, Michigan, New Jersey, Texas and Rhode Island. • Applicants that have an active WDQI grant are ineligible to apply, unless the grant period of performance will end on or by June 30, 2021.The following States’ SWAs have active WDQI grants and are therefore ineligible to apply: California, Colorado, Idaho, Illinois, Maine, Michigan, New Jersey, North Carolina, Texas, Wisconsin.

Is this a realistic fit?

• Past Workforce Data Quality Initiative (WDQI) awards averaged $3.3 million; this notice allows up to $2.9 million per award.
• Most of the program's money (81% over five years) went to colleges and universities.
• No cost sharing or match is required.

What the grant funds

The purpose of this program is to support the development or expansion of state workforce longitudinal administrative databases. Collecting and analyzing longitudinal data can provide a comprehensive picture of whether education programs lead to employment in related fields, whether jobseekers are obtaining training-related employment, and the impact of training on workers’ earnings throughout their careers. Through such deep dive analyses, states can identify service delivery strategies that improve employment opportunities, as well as demonstrate the benefits of education and workforce programs on employment outcomes. Data linkages can help state and local leaders identify effective pathways through education and training services that lead to success in the workforce and can provide individuals with information that helps them make informed choices about their education and career(s). WDQI grants provide funding to eligible SWAs to accomplish all, or a combination, of the following objectives: Develop or improve the State Workforce Longitudinal Administrative Database. SWAs can use this funding to develop a new state workforce longitudinal administrative database, to incorporate new data sources, or to expand/strengthen existing data sources into their existing database so individual-level records can be matched across workforce training programs and over time. Connect workforce data with education data contained in the Statewide Longitudinal Data System (SLDS). WDQI requires that workforce data be matched with education data, consistent with all relevant federal and state privacy and confidentiality laws, to ultimately create a state longitudinal administrative database with individual-level information from pre-kindergarten through post-secondary and training into the workforce system. The connection of workforce and education data enables the analysis of individuals’ receipt of both education and training services to help determine ways to maximize the outcomes of these services and improve the effectiveness of the programs. Improve the quality and breadth of the data in workforce longitudinal administrative databases. It is important that data in the workforce longitudinal administrative databases are complete, accurate, and relevant to understand the impact of state workforce development programs on job seekers and employers. Data collection processes should be streamlined and standardized to ensure that the data are valid.

Category: Employment, Labor and Training.

Applying now

This notice no longer takes applications. Agencies often post the same opportunity again under a new number, so check the program's notices on Grants.gov and the similar open grants below.

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