This 2011 brief describes how the Data Resource Center (DRC) can help states in preparing their statewide needs assessment under Title V Maternal and Child Health legislation. Published by Data […]
Author Archives: Elaine Mulligan
Examples of Data Use
This webpage is dedicated to hosting compelling stories and examples of ways others are using data from the Data Resource Center (DRC) to make a difference. Published by Data Resource […]
Making National Survey Data Come Alive
This 2012 resource provides step-by-step instructions on how to engage, inform, and motivate all audiences when communicating data. Published by Data Resource Center for Child & Adolescent Health (DRC) Making […]
Local Uses of State Data and How to Construct a Synthetic Estimate
This 2011 resource is an overview of ways state-level data can be applied at the local level and a step-by-step guide on how to estimate county-level prevalence using state-level data […]
Data Quality Center’s Resource Library
This webpage is an extensive searchable resource library. This link takes you to a page with resources on early childhood data systems including information on specific state early childhood data […]
CEDS in the Field: Washington Steps Toward CEDS Alignment
This case study focuses on the early work of Washington, which was the first state to engage P-20W stakeholders to develop a statewide plan to align with CEDS. Published by […]
Why CEDS?
This presentation highlights the purpose and benefits of using Common Education Data Standards (CEDS). Published by Common Education Data Standards (CEDS) Why CEDS? Presentation
CEDS 101
This presentation introduces the Common Education Data Standards (CEDS) project and provides information on the purpose of the projects, the parts of a CEDS Standard, and the tools for using […]
CEDS Version 4
This 2013 set of voluntary data standards is the newest version of CEDS which includes additions to the early learning, K12, and post-secondary elements and expands CEDS into adult education […]
CEDS Connect Tool
This tool allows users to find and create “Connections” among data elements to address practical applications across the P-20W environment, for example, answering policy questions, calculating metrics and indicators, and […]