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This topical burst suggests guidance and tips for creating data products for local staff and ways to promote a culture of high-quality data and data use at the local level.

The presentation provides strategies for making predictions of the ways in which improvements in data quality will impact the summary statements and describes different ways to impact and measure changes in data quality over time. This can help states currently struggling to predict how improvements in data quality will impact the value of the summary statements describing child outcomes. Helpful handouts are included.

The presentation provides information about what data quality means, how to get to data quality for the SSIP and why data quality is increasingly important.

This workshop engaged participants in identifying data quality issues that interfere with assessing progress in SSIP implementation and improvement toward the SiMR. A facilitated discussion focused on strategies for improving data quality to support decisionmaking and achievement of results.

During this session, the presenter applied IDC’s working principles of high-quality data to the SSIP. The presenter focused on applying the principles of data quality at each step in the SSIP evaluation.

The presentation focuses on how to use high quality data to support effective implementation. Information highlights informed use of data for decision making and improvement and the conditions under which high-quality data can make the most difference.

This is a recording of a presentation focusing on how to use high quality data to support effective implementation. Information highlights informed use of data for decision making and improvement and the conditions under which high-quality data can make the most difference.