Overview – Unlocking Longitudinal Data Systems  

New: IEBC webinar on State Longitudinal Data Systems (SLDS): Moving from Silos to Sustainable Reporting welcomed participants from state systems around the country exploring the benefits of layering analytic reporting onto state systems and steps to making such a process work.

States have done a tremendous amount of work over the last decade to build critical statewide longitudinal data systems (SLDS) that are considered vital to creating a culture of continuous improvement in schools and that data systems. Many of these efforts yielded systems that are integrated into the technical infrastructure among the various sectors (pre-K, K12, college, university), have single student identifiers, and some have successfully joined data from other sources, such as Department of Labor records. However, much of this data is not useful, usable, nor actionable.

The next step is to unlock this data to make it available to tell the full story of a student’s academic progress and understand the impact of a state’s educational system on student subpopulations of interest. To accomplish this, we need to move the focus from the data to the users.

IEBC Analytics can design, develop, and implement an analytical layer solution by creating cross-sector data tables to support reporting and metric.  The resulting fact tables bring together often disparate and dispersed data elements and weave them into an efficient storage unit so the SLDS can now tell a story. We bring data together along with business rules to create an end-to-end summary of each student’s education experience across the sectors.

Cross-Sector Data Integration

With assistance from IEBC, the Hawai’i Data eXchange Partnership was able to unlock their state longitudinal data system (SLDS) and move the incorporated data to usefulness and the ability to tell the full story of a student’s academic progress.

A multi-phase project, the preliminary results of this work were presented at the STATS-DC Data Conference in Washington, D.C. in July, 2016.  Click here for more information about the STATS-DC Data Conference Presentation.