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Davis, Kathi Hogshead – CAUSE/EFFECT, 1983
The entity-relationship (ER) approach to database design is defined, and a specific example of an ER model (personnel-payroll) is examined. The requirements for converting ER models into specific database management systems are discussed. (Author/MSE)
Descriptors: Data Processing, Databases, Higher Education, Management Information Systems
Hella, Karl N.; Lygre, John – CAUSE/EFFECT, 1983
The development of a faculty information system from the perspectives of need, objectives, file structures, and the interaction between the faculty and administration during data collection is discussed. The file includes biographical data of the faculty, staffing assignments, and projections for tenure, promotion, and retirement. (Author/MLW)
Descriptors: Biographies, College Faculty, Data Collection, Data Processing
Hella, Karl N.; Lygre, John – CAUSE/EFFECT, 1983
The development of a faculty information system from the perspectives of need, objectives, file structures, and the interaction between the faculty and administration during data collection is discussed. The file includes biographical data of the faculty, staffing assignments, and projections for tenure, promotion, and retirement. (Author/MLW)
Descriptors: Biographies, College Faculty, Data Collection, Data Processing
Hiser, Judith N.; Neil, M. Elizabeth – CAUSE/EFFECT, 1985
The Department of Administrative Programming Services of Clemson University investigated products available in user-friendly retrieval systems. The test of INTELLECT, a natural language query system written by Artifical Intelligence Corporation, is described. (Author/MLW)
Descriptors: Artificial Intelligence, Case Studies, College Administration, Computer Software
Carson, Eugene – CAUSE/EFFECT, 1987
Administrators, faculty, and staff should have electronic access to records needed to perform their jobs, and students should have access to their own records--course registration and addresses. User-directed analysis and reporting are discussed and the security and audit issues are examined. (Author/MLW)
Descriptors: Access to Information, Centralization, College Administration, Data Analysis
Tetlow, William; And Others – CAUSE/EFFECT, 1987
A project to improve the "request budget" procedure at each of the campuses of the University of Colorado is described. The project extracted data maintained in central mainframe computers and downloaded it to floppy magnetic diskettes. The amount of manual data entry, calculation, and preparation time was reduced significantly.…
Descriptors: Budgeting, Computer Software, Computer Uses in Education, Computers
Maddox, Roberta; And Others – CAUSE/EFFECT, 1983
The development of a State University System of Florida data management system is discussed with special emphasis on its user controlled aspects. Major components described include system documentation, computer data files, regional data centers, computing networks, and uniform transaction systems. (Author/MLW)
Descriptors: Budgets, Centralization, College Administration, Data Processing
Sprouse, Anne B. – CAUSE/EFFECT, 1984
Quality assurance is defined and some of the tools of the quality assurance analyst and how they are being used at the Division of Administrative Programming Services at Clemson University are described. Customer involvement and training of the data processing staff to ensure quality products are discussed. (Author/MLW)
Descriptors: Computers, Data Processing, Higher Education, Programing
Lukesh, Susan S. – CAUSE/EFFECT, 1988
Decision support systems integrate information from multiple data sources, both internal and external, to produce concise analytic reports for both decision making and planning. The administrator requiring information for decision making is usually not concerned with daily, detailed changes, but rather with aggregated numbers, from fixed points in…
Descriptors: College Administration, Computer Software, Computer Uses in Education, Data Collection
CAUSE/EFFECT, 1983
The administrative data processing department at Michigan State provides support to all colleges and departments, and designs, programs, tests, and implements university management systems. A steering committee determines priorities for development projects and provides a sounding board for long-range plans of information systems. (MLW)
Descriptors: College Administration, Computers, Data Processing, Higher Education
Brown, Wayne A. – CAUSE/EFFECT, 1989
Distributed Data Processing, linking a central processing unit to remote computer sites, allows end users more control over their own destiny. Schools have distributed hardware and software but not talent. The primary goal of these staff experts should be to educate users as fully as they can. (MLW)
Descriptors: Computers, Data Processing, Decentralization, Higher Education
CAUSE/EFFECT, 1982
Improved data processing services have increased efficiency and productivity at Pacific Lutheran. By performing administrative tasks more efficiently, the university can maintain accurate records, report information promptly, and extend better overall service to the university community. (MLW)
Descriptors: Budgets, College Administration, Computers, Data Processing
Blair, Norman A. – CAUSE/EFFECT, 1983
The ability of operating departments of an institution to mechanically gather, summarize, and report "local" data is discussed. Problems are outlined that arise when departments have the ability to produce data and do so with rigorous quality control by the institution's central information management organization. (MLW)
Descriptors: Data Processing, Databases, Higher Education, Information Processing
CAUSE/EFFECT, 1981
With a unique organizational structure, the Rockefeller University's need for administrative information systems is different from most institutions of higher education. The financial reporting needs of the many different laboratories led the university to purchase a computer-based accounting system. (MLW)
Descriptors: Accounting, College Administration, Computers, Data Processing
Bernbom, Gerlad – CAUSE/EFFECT, 1991
A discussion of information management within institutions looks at the relationship between data administration, the application of formal rules and methods to information resources, and distributed data processing, the dispersion of computing functions, and data at electronically interconnected nodes within the organization. Technology, tools,…
Descriptors: Administrative Organization, Computer Oriented Programs, Data Processing, Information Systems
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