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| 23 Jul 2024 | |
| Written by Avery Freeman | |
| Blogs |
In June 2024, the Data Foundation hosted a webinar exploring the integration of education and workforce data systems. The discussion focused on the transformative potential of linking data from diverse sources, such as postsecondary institutions, federal agencies, state longitudinal data systems (SLDS), educational testing organizations, student information systems (SIS), and employers' wage records. The session featured insights from experts Kate Akers, Demetra Smith Nightingale, and Sara Stefanik, highlighting the key themes of data integration, governance, privacy, and future directions.
The experts emphasized the critical need for high-quality, timely data to inform decision-making along education and workforce pathways. By integrating data from K-12 through workforce systems, stakeholders can gain a comprehensive view that enables more accurate and impactful decisions. This integration supports transparency and evidence-informed practices, as underscored by the federal Foundations for Evidence-Based Policymaking Act (Evidence Act), which sets the groundwork for data-driven governance at federal, state, and local levels.
Effective governance and the roles of various stakeholders were key themes. Chief Data Officers (CDOs) play a vital role in establishing data standards that include demographic, occupational, and geographic information to fully understand the educational and workforce journey. Integrated data systems enable the U.S. Department of Labor (DOL) and other agencies to connect education inputs with workforce outcomes, facilitating thorough program performance analyses and evaluations.
The panelists also highlighted the importance of improving access to existing data and enhancing communication between state and local governments. This involves developing a common understanding of how to communicate policy questions and utilize current data effectively, which is crucial for creating a cohesive and responsive data infrastructure.
Privacy and security were central to the discussion. The concept of the National Secure Data Service (NSDS) was introduced, emphasizing that proper data standards and quality are essential for understanding linked data. The experts stressed that privacy must be at the core of all data initiatives. Building certification and access processes that prioritize privacy ensures that data systems are both secure and effective, enabling the safe sharing of information without compromising individual privacy.
The panelists acknowledged the challenges in data integration, such as the need for a national wage record data system to provide better longitudinal data coverage. Innovative solutions, like learning from international examples where privacy-protective technology enables direct data reporting to federal agencies, were suggested.
Additionally, the role of academia and think tanks was highlighted as crucial in advocating for better data practices. These institutions can participate in Requests for Information (RFIs) and form partnerships with local universities to improve the overall data ecosystem, ensuring that all stakeholders are involved in the data integration process.
Looking ahead, the panelists shared their visions for the future of data alignment. Developing national metrics for postsecondary outcomes, ensuring every state has linked longitudinal data systems, and enhancing employer records with key data points were identified as critical steps. By integrating data across various levels and prioritizing privacy, stakeholders can create a more coherent and responsive data infrastructure that leads to better outcomes for students and communities.
The webinar underscored the transformative potential of aligning education and workforce data systems. Through continued collaboration between government entities, academic institutions, and think tanks, we can address challenges and implement best practices to create an effective and efficient data ecosystem. This integrated approach will ultimately benefit all stakeholders, fostering a data-driven culture that enhances decision-making and outcomes along education and workforce pathways.
