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Bryant, Rebecca; Fransen, Jan; de Castro, Pablo; Helmstutler, Brenna; Scherer, David – OCLC Online Computer Library Center, Inc., 2021
Research information management (RIM) is a rapidly growing area of investment in US research universities. RIM systems that support the collection and use of research outputs metadata have been in place for many years. Globally, the RIM ecosystem is quite mature in locales where national research assessment exercises like the United Kingdom's…
Descriptors: Research Universities, Information Management, Metadata, Data Use
Bryant, Rebecca; Fransen, Jan; de Castro, Pablo; Helmstutler, Brenna; Scherer, David – OCLC Online Computer Library Center, Inc., 2021
Research Information Management (RIM) is a rapidly growing area of investment in US research universities, comprised of a variety of use cases, stakeholders, and products. This growth has been characteristically decentralized, resulting in silos, multiple systems, and frequent duplication of efforts at many institutions. This report is a two-part…
Descriptors: Research Universities, Information Management, Metadata, Data Use
Nancy Smith; Claus von Zastrow – Education Commission of the States, 2022
When the COVID-19 pandemic drove schools online in March 2020, state education leaders were left without access to data needed to understand how best to support students. The pandemic revealed the strengths and limitations of state education data systems while inspiring new strategies for collecting, reporting and using data. In 2021, DataSmith…
Descriptors: State Departments of Education, Data, Data Collection, Pandemics
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Miguel, Hugo Gonzaga; Ramos, Pedro; da Cruz Martins, Susana; Costa, Joana Martinho – Education for Information, 2020
One of the most widely researched issue on higher education relates to exposed paths that lead to academic success. Nowadays information systems represent an essential part of the education sector in many universities. In particular, the increasing of the number of students in higher education in Portugal leads to the progressive increase of…
Descriptors: Foreign Countries, Educational Research, Higher Education, Academic Achievement
Chelsea McCracken; Ruby MacDougall – ITHAKA S+R, 2025
Research data services--support offerings which enable and improve data-intensive research--have garnered sustained attention from library research support service providers for nearly two decades. Libraries have played a leading role in developing research data services, and on most university campuses they provide the largest and most diverse…
Descriptors: Researchers, Data Analysis, Research Methodology, Universities
Data Quality Campaign, 2024
In 2024, state legislators introduced hundreds of bills that would affect data collection, access, and use across early education, K-12, postsecondary, and the workforce. As in 2023, legislators continued to introduce and enact legislation governing cross-agency data systems. These policies are the most important step toward making statewide…
Descriptors: State Legislation, Early Childhood Education, Elementary Secondary Education, Labor Force
National Forum on Education Statistics, 2020
The "Forum Guide to Data Governance" highlights how data governance programs benefit education agencies and provide timely and useful best practices, examples, and resources for agencies implementing or updating their data governance programs. This resource is intended to address the needs of federal, state, and local agencies related…
Descriptors: Data, Governance, Information Security, Privacy
Sinani, Sara; Edora, Fred – Center for the Integration of IDEA Data, 2018
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…
Descriptors: State Departments of Education, Databases, Information Systems, Educational Legislation
National Forum on Education Statistics, 2019
The purpose of this guide is to provide timely and useful best practice information for collecting and managing data about students who have temporarily or permanently enrolled in another school or district because of a crisis. It includes lessons learned and provides recommendations for collecting and maintaining data about students who may move…
Descriptors: Data Collection, Information Management, Enrollment, Relocation
National College Access Network, 2016
The National College Access Network (NCAN) and Exponent Partners have teamed up on a two-part report series aimed at helping organizations to become more data-driven. NCAN members have increasingly incorporated research, data, and evaluation into their critical work of serving low-income, first-generation students on their way to postsecondary…
Descriptors: Information Management, Data, Data Collection, Systems Approach
Hall, Andrea; Huennekens, Bill – Center for the Integration of IDEA Data, 2016
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…
Descriptors: Data Collection, Information Management, State Departments of Education, Standards
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
Rankin, Jenny Grant; Johnson, Margie; Dennis, Randall – Online Submission, 2015
When many people hear the term "big data", they primarily think of a technology tool for the collection and reporting of data of high variety, volume, and velocity. However, the complexity of big data is not only the technology, but the supporting processes, policies, and people supporting it. This paper was written by three experts to…
Descriptors: Data Collection, Information Technology, Data Analysis, Information Systems
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Liu, Michelle; Murphy, Diane – Information Systems Education Journal, 2014
Within the context of "big data", there is an increasing focus on the source of the large volumes of data now stored electronically. The greatest portion of this data is unstructured and comes from a variety of sources in a variety of formats, much of which does not conform to a consistent data model. As business and government…
Descriptors: Information Storage, Information Management, Information Systems, Records (Forms)
Lang, Leah; Pirani, Judith A. – EDUCAUSE, 2014
This Spotlight focuses on data from the 2013 Core Data Service [CDS] to better understand how higher education institutions approach business intelligence (BI) reporting and data warehouse systems (see the Sidebar for definitions). Information provided for this Spotlight was derived from Module 8 of CDS, which contains several questions regarding…
Descriptors: Colleges, Business, Information Systems, Interviews
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