Workforce Data Quality Initiative (WDQI)
WDQI supports the development of, or enhancements to, longitudinal administrative databases that integrate workforce data education data. 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. Education data is being collected under the Statewide Longitudinal Data Systems (SLDS) initiative funded by the U.S. Department of Education to which the WDQI is a parallel effort. The SLDS emphasizes the collection of workforce data and the WDQI was created, in part, to accompany the work being done on the education side to gather longitudinal data.
WDQI is a collaborative partnership at the Federal level between the Departments of Labor and of Education. The long-term WDQI and Statewide Longitudinal Data Systems goal for States is to use their longitudinal data systems to follow individuals through school and into and through their work life. WQDI grant recipients are expected to demonstrate similarly established partnerships between state workforce and educational agencies. 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.
- Develop or improve state workforce longitudinal data systems to include data from UI wage records, UI benefit claims, training and employment services (such as WIA; 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 help customers select the training and education programs that best suit their needs.
WDQI NATIONAL OFFICE LIAISON
Caterra Castile, email@example.com, (202) 693-3849
WDQI GRANT INFORMATION
Please visit the WDQI Grant webpage for additional information on the grant initiative, current awardees, and previous grantees.
WDQI GRANTEE INFORMATION
Please visit the WDQI Grantee webpage for information on grant award amounts, reporting requirements, and links to grantee project designs and technical assistance.
TEN 36-16 Release and Availability of Two Reports: Using Workforce Data Quality Initiative (WDQI) Databases to Develop and Improve Consumer Report Card Systems (CRCS) and How States Manage Eligible Training Provider Lists: Findings from a State Survey
Department of Education, National Institute of Education Science
- Education and Workforce Data: Challenges in Matching Student and Worker Information Raise Concerns about Longitudinal Data Systems , GAO
- Using Workforce Data Quality Initiative Databases to Develop and Improve Consumer Report Card Systems, IMPAQ
- Assessment of the U.S. Census Bureau's Personal Identification Validation System, NORC at the University of Chicago
- Mastering the Blueprint: State Progress on Workforce Data, WDQC
2014 NCES Summer Forum and STATS-DC Data Conference
The Department of Education has published three installments of a four part guide to Longitudinal Data Systems. These publications are great tools for those who are in the early stages of developing longitudinal databases.
- Part 1: Traveling Through Time: The Forum Guide to Longitudinal Data Systems. What is an LDS? National Forum on Education Statistics. 2010. http://nces.ed.gov/pubs2010/2010805.pdf
- Part 2: Traveling Through Time: The Forum Guide to Longitudinal Data Systems. Planning and Developing an LDS. National Forum on Education Statistics. 2011. http://nces.ed.gov/pubs2011/2011804.pdf
- Part 3: Traveling Through Time: The Forum Guide to Longitudinal Data Systems. Effectively Managing LDS Data. National Forum on Education Statistics 2011. http://nces.ed.gov/pubs2011/2011805.pdf
The Administrative Data Research and Evaluation (ADARE) was created in 1998, first in partnership with 5 states and ultimately with 9, each of which developed the capacity to respond to welfare-to-work policy questions. In demonstrating the value of longitudinal data to answer policy questions, ADARE states laid the foundation for WDQI.