Workforce Data Quality Initiative
WDQI supports the development of, or enhancements to, longitudinal administrative databases that will integrate workforce data and create linkages to education data. States will incorporate workforce information into longitudinal data systems to expand the scope and depth of data from programs, such as the Workforce Investment Act programs, Wagner-Peyser, Trade Adjustment Assistance, and Unemployment Insurance. The long-term WDQI and SLDS goal for States is to use their longitudinal data systems to follow individuals through school and into and through their work life. The WDQI also emphasizes promoting improvements and the level of quality of these systems, in addition to increasing the accessibility of performance data, including data reported by employment services and training providers. High quality and consistent data that is available from service providers about services offered, and how well their customers benefited as they enter or re-enter the labor market, are integral to informed consumer choices.
The WDQI is being implemented to support a collaborative partnership at the Federal level between the Departments of Labor and of Education. WQDI grant recipients are expected to demonstrate similarly established partnerships between state educational and workforce agencies.
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What are the main objectives of the WDQI?
- Develop or improve state workforce longitudinal data systems to include data from Unemployment Insurance (UI) wage records, UI benefit claims, training and employment services (such as Workforce Investment Act; Wagner-Peyser; Trade Adjustment Assistance; Veterans; Adult Education and Literacy, and Disability programs) and other data sources like the Federal Employment Data Exchange System.
- Enable workforce data to be matched with education data to ultimately create longitudinal data systems with individual-level information beginning with pre-kindergarten through post-secondary schooling all the way through entry and sustained participation in the workforce and employment services system.
- Improve the quality and breadth of the data in the workforce data systems.
- Use longitudinal data to provide useful information about program operations and analyze the performance of education and employment and training programs.
- Provide user-friendly information to consumers to help them select the training and education programs that best suit their needs.
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What outcome or outputs are expected of the grantees?
Each WDQI grantee is expected to fully develop (or expand in the case where states have a database underway) their workforce longitudinal database in addition to using that database to conduct analysis of state workforce and education systems. Additionally, WQDI grantees are expected to use this data analysis to create materials on state workforce performance to share with workforce system stakeholders and the public.
WDQI Federal Contacts
|
Region |
Round |
States |
FPO |
Region 1 |
Round 1 |
Maine, Massachusetts |
Trevor Capon |
Round 2 |
New Jersey |
Suzanne Pouliot |
|
Rhode Island |
Michael Hotard |
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Region 2 |
Round 1 |
Maryland |
Linda Avila |
Round 1 |
Virginia |
Tobby Willis |
|
Round 2 |
Pennsylvania |
Michael Toops |
|
Region 3 |
Round 1 |
Florida, South Carolina |
Jessica Otieno |
Region 4 |
Round 1 |
Louisiana, North Dakota, Texas |
David Lipnicky |
Round 2 |
Arkansas, Oklahoma, South Dakota |
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Region 5 |
Round 1 |
Iowa, Minnesota, Missouri, Ohio |
Jean Grochowski |
Round 2 |
Illinois, Michigan, Nebraska |
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Region 6 |
Round 2 |
Hawaii |
Janice Shordike |
Idaho, Washington |
Denise Dombek |
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National Office |
Rounds 1 & 2 |
All States |
Kate Louton |
Press Releases
Round 1 - please link here: http://www.doleta.gov/performance/workforcedatagrant_article.cfm
Round 2 - please link here: http://www.dol.gov/opa/media/press/eta/ETA20121170.htm
Contact
For information, please contact: ETAPerforms
