Archived Resources

This session focused on how to best communicate high-quality data by applying different strategies to prepare data for dissemination and use. Topics covered in this session included the importance of understanding the audience, how stakeholder needs can vary when understanding and interpreting data, why data governance is a key component in planning data communication activities, and why accessibility is important. This session highlighted sections of the Data Use component of the IDEA Data Center Part B Data System Framework.

Panel participants included staff from the DQC and the Georgia Department of Education. DQC staff discussed the role of education data and the opportunity to go beyond compliance, the need for focusing on policy priorities, and new opportunities the Every Student Succeeds Act presents. Georgia Department of Education staff shared their story about how the state has built a culture of data use from state-level infrastructure development to getting the data into the hands of teachers who are using the data to have a positive impact on improving student results.

This session highlighted Florida and New Jersey as presenters. They told their states' stories of how they have created a culture of high-quality data.

The presentation outlined the collaborative partnerships between the Part B data manager and EDFacts coordinator in two states--West Virginia and Kansas. The discussion included a range of topics from collaborating on data collection and verification at the LEA level to SEA EDFacts submissions. The presentation included time for other Part B data managers to share strategies for successful submission of their 618 data through EDFacts.

Information focuses on ways to collect and use data on coherent improvement strategies and assess gaps in existing data for evaluation and provides examples of existing data or information states are already collecting (e.g., through monitoring) and how to use that data to measure SSIP activities. A helpful handout is included.

The presentation examines the reasons why states would change baselines or targets for their SSIPs. Topics addressed include changes in assessments, data collection methods, and data quality. Participants discussed and provided input into an  IDC white paper on the topic. Currently, the white paper is in draft form and undergoing revisions based on input from the field. The published paper will be posted to the IDC Resource Library and affiliated as a related resource to the handout already posted for this session.

This presentation provided an overview of the challenges of data collection for IDEA Part B Indicator 14 and identified some successful efforts to overcome challenges such as representativeness and response rates. Additionally, presenters shared one state's effort to improve the quality of their student post-school outcome data to increase confidence in programmatic decisions that could be made from those data.