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.

Background: Deep versus surface knowledge is widely discussed by educational practitioners. A corresponding construct, levels of processing, has received extensive theoretical and empirical attention in learning science and psychology. In both arenas, lower levels of information and shallower levels of processing are predicted and generally…

Education, Big Data, and student privacy are a combustible mix. The improvement of education and the protection of student privacy are key societal values. Big Data and Learning Analytics offer the promise of unlocking insights to improving education through large-scale empirical analysis of data generated from student information and student…

The research urgency is caused by necessity to develop the informational support for management of development of higher education in conditions of high turbulence of external and internal environment. The purpose of the paper is the development of methodology for structuring and analyzing datasets of educational activities in order to reduce…

This chapter describes the background and process for collecting postgraduation outcomes data at a 4-year not-for-profit private college. The strategies, analyses, and reporting of this data-collection effort are highlighted with the use of a case study.

Learning analytics (LA) are summaries, visualizations, and analyses of student data that could improve learning in multiple ways, for example by supporting teachers. However, not much research is available yet concerning how LA may support teachers to diagnose student progress and to intervene during student learning activities. There is evidence…

The silo is a well-worn metaphor in information systems used to illustrate separateness, isolation, and lack of connectivity. Through the many iterations of system development, libraries, archives, and museums (LAMs) have sought to avoid silos and find the sweet spot between interface design and metadata interoperability. This effort is being…

The advent of Web 2.0, also called the Social Web, has changed the way people interact with the Web. Assisted by the technologies associated with this new trend, users now play a much more active role as content providers. This Web paradigm shift has also changed how companies operate and interact with their employees, partners and customers. The…

The word "data" connotes math, science, and technology: digits and quantifiable units. Data imply objectification--reducing ideas, and perhaps even students and teachers, to products that can be measured and compared. Ironically, however, this conception of data is itself reductive, and it minimizes the richness and potential of data.…

The mathematics of information processing and the Internet can be organized around four fundamental themes: (1) access (finding information easily); (2) security (keeping information confidential); (3) accuracy (ensuring accurate information); and (4) efficiency (data compression). In this article, the author discusses each theme with reference to…

Considers the legal response to terrorism following the September 11th attacks and questions whether American intelligence and law enforcement are positioned to protect the public in an effective manner. Highlights include the business of intelligence; the collection of information; use of technology; the need to improve information sharing; and…

In 1985, the Center for Education Statistics began a review of its elementary and secondary education data collection programs. The intended product of the redesign was a new plan for national data collection from institutions and individuals. This collection of articles describes the redesign project. (RB)

Outlines the procedures used in the creation of the Cooperative Management Information System (CMIS) at Macomb County Community College: determination of information needs, data collection, and information storage and manipulation. Discusses the use of CMIS in assessing program effectiveness. (SK)

Presents compact disc (CD) technology as the method of choice for data collection and knowledge distribution. Discusses four phases of the CD network storage application (processing, imaging, recording, verifying), expanding applications in imaging, archiving, Internet/intranet, CD production, and network backup and storage. (PEN)

Churn management is a concern for businesses, particularly in the digital economy. A customer relationship framework is proposed to help deal with churn issues. The model integrates the electronic channel and involves four tools for enhancing data collection, data treatment, data analysis and data integration in the decision-making process.…