Tuesday, March 19, 2019
1:00 PM ~ 2:30 PM ET
This session will explore innovative ideas to improve data integrity and data collection efficiency. Attendees will have an opportunity to share their states' unique approaches to data validation, including the operational fundamentals of collecting and reporting participant data. This session will also include policy and reporting discussions on self-attestation, automated data collection, and streamlining data sharing.
The meeting will kick-off with a short discussion focused on state-level exit date data from the February 19th Peer Learning Group session. States will receive their data prior to the meeting and have an opportunity to ask questions and discuss the importance of the data. The remainder of the call will focus on various approaches to data integrity, and participants will brainstorm potential approaches to data validation. Representatives from the Employment and Training Administration (ETA) will discuss the TAADI approach and a few states will present their approaches to data validation. ETA encourages state representatives to prepare for this meeting by being ready to discuss any data quality procedures they have already implemented and future initiatives they hope to develop. Attendees will discuss their approaches to data validation, including the operational fundamentals of collecting and reporting participant data.
Kevin Reuss, Economist, Office of Policy Development and Research, Employment and Training Administration
Cesar Acevedo, Workforce Analyst, Office of Policy Development and Research, U.S. Department of Labor, Employment and Training Administration
Scott Wheeler, Performance Manager, Maher & Maher
Bryan Huebsch, WIOA Performance Planner, Wisconsin Department of Worksforce Development
Nicole Laktash, Staff Services Manger II, CalJOBS Analysis and Operations Group, Central Office Workforce Services Division, MIC 50