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Watters, Carolyn; Shepherd, Michael A. – Information Processing and Management, 1994
Discusses the shift of information access from a data-centered to a user-centered model and describes the Daltext system, a prototype user-centered information system that allows the user to determine how the data will be viewed (i.e., within a datastream model, a set model, a relational model, and/or a hierarchical model). (Contains 30…
Descriptors: Access to Information, Data Processing, Database Design, Information Retrieval
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Maybury, Mark T. – Information Processing & Management, 1995
Describes and evaluates a system that selects key information from an event database by reasoning about event frequencies, frequencies of relations between events, and domain-specific importance measures. The system aggregates similar information and plans a summary tailored to a stereotypical user. (AEF)
Descriptors: Abstracting, Data Processing, Databases, Electronic Text
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Aldous, K. J. – Information Processing & Management, 1996
Discusses a method for organizing and augmenting the data in a complex database to make automatic retrieval possible. Presents an example of the method using a database of information on the nature and use of fungicides. Initial results of trials with potential users suggest that the system can produce relevant responses to queries. (Author/AEF)
Descriptors: Access to Information, Automation, Data Processing, Databases
Rodgers, Don – Laserdisk Professional, 1990
Outlines the steps involved in the development of a CD-ROM product. Areas discussed include user requirements definition, delivery systems definition, database design, application design and development, data capture, data conversion program design and development, data conversion and enhancement, data indexing, system integration and evaluation,…
Descriptors: Data Processing, Database Design, Delivery Systems, Developmental Programs
Efthimiadis, Efthimis – Proceedings of the ASIS Annual Meeting, 2000
Presents abstracts that discuss using data visualization for information retrieval and data mining, including immersive information space and spatial metaphors; spatial data using multi-dimensional matrices with maps; TREC (Text Retrieval Conference) experiments; users' information needs in cartographic information retrieval; and users' relevance…
Descriptors: Cartography, Criteria, Data Processing, Information Needs
Horn, Richard – Data Training, 1986
Discussion of knowledge-based technology highlights the ability of knowledge systems to integrate training and support for computer users in business offices. This type of expert system would use a common-knowledge base for computer-based training, online documentation, print documentation, and help systems for both experienced and novice users.…
Descriptors: Business Administration, Computer Assisted Instruction, Data Processing, Databases
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Slonim, Jacob; Bauer, Michael A. – Information Processing and Management, 1990
Description of a Canadian research and development project that involved the development of a library information system which would satisfy the needs of a variety of libraries focuses on the technological aspects of the system. Data manipulation is discussed, software is described, standards are considered, and customer requirements are examined.…
Descriptors: Computer Networks, Computer Software, Computer System Design, Data Processing
Riley, Sheila – Technology & Learning, 2006
In this article, John Forbes, administrative analyst for the 80,000-student Fresno Unified School District in Fresno, and Terrence Young, chief information officer for the 70,000-student Guilford Country Schools in Greensboro, North Carolina, share their strategies for getting staff on board with Web-based data systems. These are the strategies:…
Descriptors: Data Collection, Internet, Data, Data Analysis
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Chiang, Katherine; And Others – Library Hi Tech, 1993
Describes the creation of an interactive retrieval system for electronic numeric files that was developed at Cornell University's (New York) Mann Library. Topics discussed include user characteristics; special data characteristics; quality control; software; hardware; data preparation; database design and construction; interface; subject indexing…
Descriptors: Academic Libraries, Cataloging, Computer Software, Data Processing
Horn, Richard – Data Training, 1987
Presents guidelines for creating a plan for a knowledge system that integrates training, documentation, and support activities for computer-using personnel in a business setting. Benefits of the system are described, including increased user productivity. (LRW)
Descriptors: Business Administration, Computer Assisted Instruction, Cost Effectiveness, Data Processing
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Elliott, Emerson J. – Educational Researcher, 1989
Describes new directions and initiatives instituted at the National Center for Educational Statistics (NCES) since 1986 to fill data gaps, raise technical standards, and expand staff resources. Discusses implications for educational research and policy. (FMW)
Descriptors: Data Collection, Data Processing, Educational Research, Elementary Secondary Education
Petrides, Lisa A.; Nodine, Thad R. – 2003
This monograph presents a set of emerging theories, along with current practices and recommendations, that focus on the effective management of knowledge in educational settings. It provides a set of simple designs for linking people, processes, and technologies, and discusses how organizations can promote policies and practices that help people…
Descriptors: Access to Information, Data Processing, Decision Making, Decision Support Systems
Roey, Stephen; Caldwell, Nancy; Rust, Keith; Blumstein, Eyal; Krenzke, Tom; Legum, Stan; Kuhn, Judy; Waksberg, Mark; Haynes, Jacqueline – 2001
The 1998 High School Transcript Study provides the U.S. Department of Education and other educational policymakers with information regarding current course offerings and students' course-taking patterns in U.S. secondary schools. Similar studies were conducted in 1982, 1987, 1990, and 1994. This guide documents the procedures used to collect and…
Descriptors: Academic Achievement, Academic Records, Core Curriculum, Course Selection (Students)