The Decision Support Data System (DSDS) is a system for identifying, collecting, and analyzing data that are useful to the teacher, school, district and other implementing environments. The system itself needs to live up to its name. It must be a data system that provides timely, reliable data for decision-making.
Decision Support Data Systems (DSDS) gather process data, outcome data (e.g., student assessment) and fidelity data. To be useful, data need to be collected, analyzed, and reported over time and across actionable levels. That is, data need to be available from the classroom, grade, school, and district levels so progress can be celebrated, needs identified, and improvement plans generated. In addition to process, fidelity and outcome data, data also can be captured related to the effectiveness of the other Implementation Drivers. Again, all DSDS data and information need to be reliable, valid, and timely, as well as provide measures at actionable units (e.g. classroom, grade level).
DSDS reports and access can be made available at multiple levels throughout an educational system. For example, teachers can access data to monitor student progress, make educational decisions, and to see how their own practices are improving through the fidelity assessment lens. A school principal or a building leadership team can look across a grade level or curriculum area data to detect systemic issues that need to be broadly addressed. District teams can identify masterful teachers who can support their colleagues by demonstrating excellence in instructional practices.
Celebrating success through data is critical to the adoption, use and sustainability of a DSDS. A DSDS is more quickly embraced when the information readily highlights improvements and supports the work of educators at all levels.