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Workforce Data Quality Initiative (WDQI)
Grantee Technical Assistance

Each WDQI grantee is expected to build (or to have built) a workforce database that integrates longitudinal education data. The state-level workforce data sources include (but are not limited to):

  • wage record data from employers reporting through the Unemployment Insurance (UI) payroll tax system;
  • benefit and demographic data from claims processed through UI;
  • data from the employment and training services authorized under the Workforce Investment Act and the Wagner-Peyser Act employment services;
  • Trade Adjustment Assistance; and
  • demographic data from the Federal Employment Data Exchange System.

ETA has contracted Social Policy Research (SPR) to provide technical assistance to grantees. SPR provides TA to support states in fostering the partnerships and developing the technological capacity necessary to link labor, education, and other state data systems in a way that will make it possible to track individuals from Pre-K through their engagement in the workforce system. More specifically, TA activities aim to increase the capacity of states to: (1) develop or improve WDQI longitudinal databases, (2) enable workforce data to be linked with longitudinal individual-level education data, and (3) build data sharing partnerships to support research and analysis, and tools and strategies for informing state and local policy.


WDQI grantees, Federal Project Officers, and other pertinent grant personnel can register for access to the WDQI Collaborative Workspace operated through SPR. Visit to register (account access will require approval from SPR).



  • The Privacy Technical Assistance Center (PTAC) Mapping and Transparency Team Sessions in San Francisco, CA - February 5-6, 2015
    • Focus: Transparency of data systems and multi-agency data mapping exercise
  • SLDS Annual Spring Best Practices Conference in Washington, DC - March 10-12, 2015
    • Focus: Identify best practice approaches they can implement related to the three state-identified areas of priority and learn from and potentially adopt other states' promising processes, services, and products related to their statewide longitudinal data systems


  • 2015 Webinar announcements coming soon!

    Scorecard Examples

  • Texas' Consumer Resource for Education and Workforce Statistics (CREWS) web application compares employment, wage and student loan debt data across Texas' public two-year and four-year colleges and universities. (Texas CREWS)
  • Florida's scorecard, which shows outcomes by institution, is called Smart College Choices (SmartCollegeChoices).
  • Minnesota's scorecard is called iSEEK. The iSEEK website allows users to search for education and training programs: 1) at particular institutions, 2) in a given geographical area, 3) using a program keyword, or 4) on the state's ETPL, in addition to other options (iSEEK).
  • New Jersey's scorecard is called New Jersey Training Opportunities. Users can search for programs by occupation type, major area of training, location, keyword, and many other criteria. Users can also display outcome information for participants that are calculated six months, one year, or two years after training (NJJobs).
  • The Virginia Longitudinal Data System (VLDS) includes data on the percentage of graduates known to be employed within Virginia, the average salary, and the average higher education-related debt for graduates on whom the data are based - at intervals 18 months and five years after the data of graduation (VLDS).
  • Washington's scorecard, called Career Bridge, allows users to search for training programs using a variety of criteria, and provides users with program profiles that display both program information and outcome data (CareerBridge).
  • Maine - outcome data includes the number and percentage of graduates employed in Maine and the wages paid to them