Tag Archives: Data Use

Collecting and Using Evaluation Data on Implementation of Evidence-Based Practices

Conference: National Early Childhood Inclusion Institute Date: May 2019 Presenters: Margaret Gillis, Kathleen Hebbeler This presentation includes information of basic information principles related to evaluating practice implementation, features of high-quality tools and methods for evaluating practice implementation, strategies for making evaluation of practice implementation more practical and strategies for summarizing data on practice implementation for different […]

Embrace the Data Culture!

Author: Haidee Bernstein, DaSy This is the first of a two-part blog. The main goals of these blogs are to (1) promote a greater understanding of what it means to have a data culture and (2) let you know where to find information about creating a data culture. It’s another day at work, and today […]

Are You Turning Data into Insight?

Authors: Cornelia Taylor and Denise Mauzy, SRI International “The goal is to turn data into information and information into insight.” — Carly Fiorina, former chief executive officer and chair of Hewlett-Packard Company We live in a data-rich world. But having data doesn’t always translate into insight, and insight is needed to make good decisions. At […]

Data Culture: What Does It Look Like in Your Program? Encore Webinar

Learn about state efforts to build a culture of data use and use this information to reflect on your state or program’s data culture. Resources including the DaSy Data Culture Toolkit will be discussed. Presented by Brenda Sharp, Lisa Backer, Haidee Bernstein, and Tony Ruggiero in February 2019 Link to Webinar RecordingLink to Webinar PowerPoint […]

Collecting, Analyzing, and Sharing Qualitative Data Encore Webinar

This webinar includes best practices in collecting, analyzing and sharing qualitative data with an example from Louisiana’s SSIP work. This webinar also shares resources to support qualitative methods and an activity for participants to practice analyzing qualitative data. Presented by Megan Cox, Kerry Friedman, Brenda Sharp and Debbie Shaver in January 2019 Link to Webinar […]

Oh, the Places You’ll Go …with Data Personnel

Conference: Early Childhood Personnel Center Cross-Cohort Leadership Institute Date: September 2018Presenters: Kathleen Hebbeler This presentation contains information on the benefits of building a comprehensive system of personnel data. It also includes the functions of a data system and uses of data. Link to Presentation

Improving the lives of young children through data

This Early Childhood Data Collaborative (ECDC) brief highlights projects implemented in three states to integrate education, health, and/or social services data in order to inform policies that influence the lives of young children and their families. The Annie E. Casey Foundation (AECF) funded KIDS COUNT organizations in the states of Mississippi (MS), Minnesota (MN), and […]

Early Childhood Data in Action

This November 2018 report from the National Institute for Children’s Health Quality (NICHQ) and the Center for the Study of Social Policy offers case studies from Indianola, Mississippi; Ventura County, California; and Philadelphia, Pennsylvania using their early childhood data in clear and important ways to tailor more effective interventions and yield better results. Key themes […]

Perspectives from the Field About Building a Culture of Data Use

Conference: Division for Early Childhood’s 34th Annual International Conference on Young Children with Disabilities Date: October 2018 Presenters: Denise Mauzy, Amy Nicholas This session features a panel of representatives from the field, including technical assistance providers and state leaders (administrator, practitioner, and family), to share their perspectives about building a systemic culture of data use. Panelists will […]

Building a Culture of Data Use

This webinar explored DaSy’s new Data Culture Toolkit, following the five key steps to building a culture of data use in a state or local program: Formalize your data team and its vision/purpose; assess your data use culture; prioritize your data team’s critical questions; assess and improve your data quality; and explore and use data. […]

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