Exploratory data analysis (EDA), data visualization, and visual analytics are essential for understanding and analyzing complex datasets. In this project, we explored these techniques and their applications in data analytics. The case discusses Tableau, a powerful data visualization tool, and Google BigQuery, a cloud-based data warehouse that…

High-quality data is essential when looking at student-level data, including data specifically focused on students with disabilities. For state education agencies (SEAs), it is critical to have a solid foundation for how data is collected and stored to achieve high-quality data. The process of integrating the Individuals with Disabilities…

Reporting requirements for capturing data on the delivery of Supplemental Nutrition Assistance Program Education (SNAP-Ed) have evolved. University of Minnesota (U of M) Extension developed the SNAP Education Evaluation and Database System (SEEDS) to capture unduplicated participant information for SNAP-Ed programming conducted by U of M Extension…

Tracking and using data to inform decisions pays off for college success programs on multiple levels. Having data allows program staff to monitor the progress of individual students and tailor support to their particular needs. It enables staff to understand the effectiveness of program activities and make improvements as necessary. Most…

The federal government has collected data from colleges and universities for more than a century. However, how and what data are collected has evolved over time, as has the purposes for collecting those data. The most systematic collection of data happens through the Integrated Postsecondary Education Data System (IPEDS), which is required to be…

California's information about opportunities and outcomes in early learning and care, TK-12 schools, colleges, social services, and employment is currently disconnected. A longitudinal data system can be a powerful tool that allows California to identify bright spots, inequities, and roadblocks in our educational system, especially for students of…

This brief provides a definition of an integrated data system, identifies who would benefit from the information provided by an integrated data system, and examines the challenges and costs associated with data integration, as well as potential benefits to creating an integrated data system. [The Center for the Integration of IDEA Data (CIID) is…

School closures in response to the COVID-19 pandemic have dramatically changed the conditions in which students learn and experience schooling. Disparities in students' access to learning and in their academic outcomes are likely to exacerbate longstanding challenges and inequities. Now more than ever, educators need information that will help…

This contribution takes a critical perspective on digital school performance platforms (SPP), which today play a key role in US state education monitoring and accountability. Using examples from two different US state education agencies, I provide an analytical disentanglement of some key dimensions of such platforms' enactment and materiality. I…

State databases offer researchers the opportunity to conduct research using data collected by states. These databases contain financial, demographic, and accountability data. Accessing and acquiring data from these repositories, though, can offer challenges to scholars interested in conducting research. This brief describes the type of data…

Planning for the sustainability of data system integration should be a fundamental part of the initial project plan. Taking a long-term view rather than a project-to-project approach improves the data culture and chances of success. The intent of this tip sheet is to identify key components, strategic timing, and planning considerations for…

Eleven states have worked with CIID, over the past three years, to integrate their IDEA data and to implement Generate, a software application that improves data quality and automates reporting through standardization. These eleven states have realized notable data quality improvements that will be shared in this brief to help states across the…

The 2020 General Assembly directed the State Council of Higher Education for Virginia (SCHEV) to develop a plan for implementing a statewide survey of institutional expenditures by program and academic discipline at Virginia's public higher education institutions, and submit a report and recommendations to the Governor and the Chairs of the House…

This article describes a collaborative project across three institutions to develop, implement, and evaluate a series of tutorials and case studies that highlight fundamental tools of data science--such as visualization, data manipulation, and database usage--that instructors at a wide-range of institutions can incorporate into existing statistics…

CIID has implemented Generate in 9 state education agencies (SEAs), and through this work SEAs have realized a variety of improvements to their special education data in terms of overall data quality, improvements to data governance structures, and ease of federal reporting. This brief is the second in a series looking at data quality. Here, we…