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Data Quality Campaign, 2023
Each year, state legislators introduce hundreds of bills that generate new data collections, analyses, and resources, playing a crucial role in how people access and use data. Notably, in 2023 legislators introduced and enacted bills governing cross-agency data systems--the most important step that states must take to make robust access to data…
Descriptors: Educational Legislation, Data Analysis, Data Collection, Access to Information
Data Quality Campaign, 2020
This year saw unprecedented disruptions to schools and to students' lives across the country. With a global pandemic shutting school doors, causing economic instability, and highlighting the impact of systemic racism, policymakers and education leaders are looking to data to help them respond and recover. The Data Quality Campaign's 2020 research…
Descriptors: Data Use, Data Collection, COVID-19, Pandemics
Data Quality Campaign, 2018
Learning does not end at 3 p.m. or in June, and neither should data-driven support for students. Communities across the country are recognizing out-of-school time (OST) programs as key partners to provide students not only important enrichment and academic services but also targeted supports and expanded learning opportunities. This policy brief…
Descriptors: School Community Relationship, Partnerships in Education, State Policy, Information Dissemination
Data Quality Campaign, 2014
Schools use data for different purposes, which have different degrees of impact on a student's educational experience: administrative, instructional, assessment and measurement, and optional/noneducational. To the extent feasible, parental choice policies should be structured according to the use of the data in question. Parents should have more…
Descriptors: Student Records, Data Collection, Parent Rights, Informed Consent
Data Quality Campaign, 2014
This publication provides an overview of the current federal opportunities to help states advance their data-related activities. Although not exhaustive, this list provides a starting point for federal policymakers to support states' work in this area.
Descriptors: Federal Aid, Data Collection, Data Processing, Information Management
Data Quality Campaign, 2015
The reauthorization of the Elementary and Secondary Education Act (ESEA) provides an opportunity to transform how data are used in education. The 2002 ESEA requirement to disaggregate data and provide them to the public has made it possible to have greater transparency and more accurate measures of academic performance than ever. Congress now has…
Descriptors: Federal Legislation, Educational Legislation, Elementary Secondary Education, Data Collection
Data Quality Campaign, 2014
Education data can empower educators, students, parents, and policymakers with the information they need to make the best decisions to improve student achievement, information that can move the nation toward an education system in which every student graduates prepared for college and career. Safeguarding the privacy of student data is a critical…
Descriptors: Data, Misconceptions, Privacy, Student Records
Kugle, Cherry; Smith, Nancy – Data Quality Campaign, 2006
The Data Quality Campaign is a national, collaborative effort to encourage and support state policymakers to improve the collection, availability and use of high-quality education data and to implement state longitudinal data systems to improve student achievement. The campaign aims to provide tools and resources that will assist state development…
Descriptors: Case Studies, Longitudinal Studies, State Agencies, Program Implementation
Steiny, Julia; Smith, Nancy J. – Data Quality Campaign, 2007
With the passage of the No Child Left Behind Act (NCLB), state education agencies (SEAs) and local educational agencies (LEAs) have stepped up activities to broadly expand their data collection and reporting systems. The Data Quality Campaign (DQC) has advocated strongly for states to build robust student-level longitudinal data systems based on…
Descriptors: Federal Legislation, Educational Legislation, Data Collection, Data Analysis