Workforce Data Quality Initiative - Round V

The summary for the Workforce Data Quality Initiative - Round V grant is detailed below. This summary states who is eligible for the grant, how much grant money will be awarded, current and past deadlines, Catalog of Federal Domestic Assistance (CFDA) numbers, and a sampling of similar government grants. Verify the accuracy of the data FederalGrants.com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed as the Grant Announcement Contact. If any section is incomplete, please visit the website for the Employment and Training Administration, which is the U.S. government agency offering this grant.
Workforce Data Quality Initiative - Round V: The Employment and Training Administration (ETA), U.S. Department of Labor (DOL, or the Department, or we), announces the availability of approximately $10 million in grant funds authorized by Section 171(c)(2) of the Workforce Investment Act of 1998 (WIA) and section 169 of the Workforce Innovation and Opportunity Act of 2014 (WIOA) for grants to State Workforce Agencies (SWA) for the Workforce Data Quality Initiative (WDQI). With the passage of the WIOA, WDQI grants become even more vital as states move towards developing and building a more integrated data structure and develop consumer-friendly displays (i.e., scorecards) of program outcome information. WIOA expands on WIA by weaving data collection from both DOL and the Department of Education (ED) in a manner that is unique for the workforce system. Furthermore, we will encourage grantees to align and integrate data systems to support program management, performance reporting, and common case management systems. Additionally, grantees should focus on designing information technology systems which reduce burden and present integrated information to support service provision and inform customer choice. We further encourage grantees to use grant funds to expand access to comprehensive information sharing tools that enable both participants and employers to access programmatic outcomes. The Department has reserved up to 3 percent of this round's total grant funding (a maximum amount of approximately $300,000) to provide technical assistance to grantees in developing and implementing their State workforce longitudinal administrative databases. For the remainder of this document, we will interchangeably refer to the databases created as “workforce longitudinal administrative databases” or “workforce longitudinal databases.” Grants awarded will provide SWAs the opportunity to develop or expand State workforce longitudinal administrative databases. The State workforce longitudinal databases will, at a minimum: 1) include information on programs that provide training, employment services, and unemployment insurance; 2) connect with education data contained in Statewide Longitudinal Data Systems (SLDS) databases; 3) be linked at the individual level to allow for the evaluation of federally and State-supported education and workforce programs; 4) be capable of generating workforce training provider performance information and outcomes in a standardized, easy to understand format (e.g., scorecards), consistent with all applicable Federal and State privacy laws; and 5) lead to better information for customers and stakeholders of the workforce system. Where such longitudinal systems do not exist or are in early development, WDQI grant assistance may be used to design and develop these databases. WDQI grant assistance can also be used to improve upon existing State workforce longitudinal databases. This FOA provides a description of the application submission requirements, outlines the process that eligible entities must use to apply for funds covered by this FOA, and details how grantees will be selected. Additional background information on the WDQI is available at http://www.doleta.gov/performance/workforcedatagrant09.cfm.
Federal Grant Title: Workforce Data Quality Initiative - Round V
Federal Agency Name: Employment and Training Administration (DOL-ETA)
Grant Categories: Employment Labor and Training
Type of Opportunity: Discretionary
Funding Opportunity Number: FOA-ETA-15-06
Type of Funding: Grant
CFDA Numbers: 17.261
CFDA Descriptions: Information not provided
Current Application Deadline: May 6th, 2015
Original Application Deadline: May 6th, 2015
Posted Date: April 7th, 2015
Creation Date: April 7th, 2015
Archive Date: June 5th, 2015
Total Program Funding: $10,000,000
Maximum Federal Grant Award: $1,200,000
Minimum Federal Grant Award: $0
Expected Number of Awards: 8
Cost Sharing or Matching: No
Last Updated: April 7th, 2015
Applicants Eligible for this Grant
Others (see text field entitled "Additional Information on Eligibility" for clarification.)
Additional Information on Eligibility
Eligible applicants for this grant competition are SWAs in the 50 States, the District of Columbia, the Commonwealth of Puerto Rico, the United States Virgin Islands, American Samoa, Guam, and the Commonwealth of the Northern Mariana Islands which: - Did not receive a Round IV award under solicitation SGA-DFA-PY-13-05; and - Have received no more than one award through SGA-DFA-PY-09-10 (Round 1), SGA-DFA-PY-11-01 (Round 2), and SGA-DFA-PY-12-07 (Round 3). SWAs that have received two WDQI grant awards, as well as SWAs that received a WDQI grant award through SGA-DFA-PY-13-05 are not eligible to apply. These following States' SWAs are ineligible: Connecticut, Indiana, Kentucky, Mississippi, Nebraska, New Jersey, Ohio, and Virginia. Of those that have received no more than one award through SGA-DFA-PY-09-10 (Round 1), SGA-DFA-PY-11-01 (Round 2), and SGA-DFA-PY-12-07 (Round 3), we do not anticipate funding more than two such applicants through this competition. Additionally, applicants must be members of the Wage Record Interchange System (WRIS) 2 at the time grant funds are released and must abide by the WRIS2 Data Sharing Agreement (DSA).
Grant Announcement Contact
Linda Forman
Grants Management Specialist
forman.linda@dol.gov
forman.linda@dol.gov
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