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Showing 1 to 15 of 17 results Save | Export
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Pangrazio, Luci; Selwyn, Neil; Cumbo, Bronwyn – Learning, Media and Technology, 2023
This paper explores the significance of schools' data infrastructures as a site of institutional power and (re)configuration. Using 'infrastructure studies' as a theoretical framework and drawing on in-depth studies of three contrasting Australian secondary schools, the paper takes a holistic look at schools' data infrastructures. In contrast to…
Descriptors: Data Use, Data Analysis, Data Collection, Information Management
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Jenay Robert; Kathe Pelletier; Betsy Tippens Reinitz – Strategic Enrollment Management Quarterly, 2024
In today's digital world, higher education institutions collect and use more data than ever. However, institutional silos create barriers for stakeholders who need data for daily operations and strategy. This article presents a vision of a unified, collaborative future for data governance and actionable steps stakeholders can take.
Descriptors: Data Analysis, Data Collection, Information Management, Governance
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Frank Lee; Alex Algarra – Information Systems Education Journal, 2024
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…
Descriptors: Visual Aids, Data Use, Data Collection, Naming
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Moulaison-Sandy, Heather; Wenzel, André G. – portal: Libraries and the Academy, 2023
This conceptual article considers data used in the humanities and the human sciences, which are fundamentally different from data in other disciplines, such as the sciences or medicine. Data in the humanities are, however, equally important to study and understand. Humanists and others studying human artifacts often face the dual challenge of both…
Descriptors: Data Collection, Information Management, Humanities, Data Use
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Michael Moore; David Clingenpeel – College and University, 2024
Wake Forest University (WFU) is in the midst of a 28-month student information system (SIS) transition. The authors' offices are deeply involved in this process on a daily basis. As the university collects and analyzes data, discusses operational needs with campus colleagues, builds and configures tenants, tests and validates, and implements a new…
Descriptors: Registrars (School), Universities, Information Systems, Online Systems
Center for IDEA Early Childhood Data Systems (DaSy), 2022
The value of data is increasingly recognized by organizations and programs, including Individuals with Disabilities Education Act (IDEA) Part C and Part B 619 programs. Data can help Part C and Part B 619 program coordinators, data managers and staff improve outcomes for children and families by strengthening their understanding of the needs of…
Descriptors: Equal Education, Educational Legislation, Federal Legislation, Students with Disabilities
Richard Harris Hartwell – ProQuest LLC, 2020
To analyze educational outcomes or evaluate operations, academic institutions need to produce high-quality data. Unfortunately, many institutions do not have accurate, timely, and useful data and information despite investments to manage technology. Furthermore, data management issues in education, including access, quality, and ownership, inhibit…
Descriptors: Higher Education, Information Management, Data Analysis, Data Use
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Clutterbuck, Jennifer – British Journal of Sociology of Education, 2022
Data infrastructures are suffused with stories of their past, present, and future that govern their use. This article draws on research into 'OneSchool', the state schooling data infrastructure used to manage student data in Queensland, Australia. The political, social, and technical histories of OneSchool's development are shown to govern its…
Descriptors: Foreign Countries, Data Collection, Data Analysis, Governance
Center for IDEA Early Childhood Data Systems (DaSy), 2022
The purpose of the DaSy Data System Framework (referred to as DaSy framework) is to assist Part C (Early Intervention) and Part B (School-Aged) 619 programs in developing and enhancing high-quality state data systems for the collection, analysis, reporting, and use of their Individuals with Disabilities Education Act (IDEA) data. The DaSy…
Descriptors: Educational Legislation, Federal Legislation, Equal Education, Students with Disabilities
O'Hara, Amy – Institute for Higher Education Policy, 2019
Our current federal postsecondary data system is incomplete and fails to provide today's students with the accurate, timely information that they need to inform their college choices and promote their success. As policymakers consider proposals to improve this federal data system, they should model best practices of responsible data-use to ensure…
Descriptors: Postsecondary Education, Information Dissemination, Information Management, Information Security
Yoo, Paul Youngmin; Whitaker, Anamarie A.; McCombs, Jennifer Sloan – RAND Corporation, 2019
Expanded learning intermediaries are nonprofit organizations dedicated to making after-school and summer programs better and more accessible for children and youth. They do this by coordinating efforts and resources in a given community, knitting programs together into a cohesive system, helping individual programs function at a high level, and…
Descriptors: Nonprofit Organizations, After School Programs, Summer Programs, Data Collection
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Lu, Jing – INFORMS Transactions on Education, 2020
In the business environment, the goal of data analytics can be characterized as improving decision making and its links to big data and other data-driven technologies. In UK higher education, degree apprenticeships are business-led and government-supported nationally recognized qualifications, where delivery is tailored to partner employer…
Descriptors: Data Analysis, Information Systems, Information Management, Data Use
Achieving the Dream, 2020
In 2019, Nebraska Indian Community College (NICC) joined the National Student Clearinghouse Postsecondary Data Partnership (PDP). This technical brief will discuss an approach to prepare Postsecondary Data Partnership (PDP) data collections that consist of the development of both term cohort files and course files. The process utilized course and…
Descriptors: Community Colleges, Tribally Controlled Education, American Indian Education, American Indian Students
Data Quality Campaign, 2021
The 2020 election brought about legislative change across the country. New and veteran policymakers need information about the schools in their state. What programs are the most cost effective and work best for students? How can states attract and retain great teachers? What information do parents need to ensure that their kids are on track to…
Descriptors: Educational Policy, Policy Formation, Data Collection, Data Analysis
Achieving the Dream, 2020
In the fall of 2019, Nebraska Indian Community College [NICC] became the first tribal college to participate in a new data service of the National Student Clearinghouse called the Postsecondary Data Partnership (PDP). A small college with high aspirations for its students, NICC was in the process of building data capacity and adopting data-driven…
Descriptors: Community Colleges, Tribally Controlled Education, American Indian Education, American Indian Students
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