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…

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…

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…

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…

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…

Quality data allow programs to provide context and meaning to research, evaluation, and accountability efforts and provides evidence to evaluate and demonstrate the effectiveness of programs. Data integration, the process of taking data from disparate systems, combining them, and transforming them into something meaningful, can increase data…

The Michigan State University (MSU) Libraries' Website has a case of TMI: too much information organized by librarians for librarians. Finding relevant information about various library services, including the 24/7 Distance Learning Support Line, and access points to scholarly resources is often cumbersome, and given the limited time and staffing…

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…

The long-term future of the scholarly record in its fullest expression cannot be effectively secured with stewardship strategies designed for print materials. The features of the evolving scholarly record suggest that traditional stewardship strategies, built on an "invisible hand" approach that relies on the uncoordinated,…

Data-mining systems provide a variety of opportunities for school district personnel to streamline operations and focus on student achievement. This article describes the value of data mining for school personnel, finance departments, teacher evaluations, and in the classroom. It suggests that much could be learned about district practices if one…

Educational authorities and policymakers are increasingly focused on protecting student privacy while using data to inform program and policy decisions. Data from more than one government agency is often analyzed to more holistically inform these decisions. This has led to the development of integrated data systems (IDSs) that allow linkage of…

The authors discuss the long-term accumulation of unstandardized and inaccessible content within the Libguides system and the decision-making process to create and implement a set of standards using the migration to the LibGuides2 platform as a vehicle for change. Included in the discussion are strategies for the creation of standards and…

In the age of "big data" science, data management is becoming a key information literacy skill for chemistry professionals. To introduce this skill in the undergraduate chemistry major, an activity has been developed to familiarize undergraduates with data management. In this activity, students rename and organize cards that represent…

Over the years, companies have relied on On-Line Analytical Processing (OLAP) to answer complex questions relating to issues in business environments such as identifying profitability, trends, correlations, and patterns. This paper addresses the application of OLAP in education and learning. The objective of the research presented in the paper is…