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Plourde, Paul J. – CAUSE/EFFECT, 1981
The findings of a CAUSE survey of institutions of higher education that are either currently using or have used a database management system are presented. In addition to demographic information, other issues addressed are: management implications, systems concepts, systems development, personnel, operational considerations and prospects for the…
Descriptors: Computers, Data Processing, Databases, Higher Education
Barnfather, Tony; Rosmanitz, Fred – CAUSE/EFFECT, 1981
The academic transcript system at the University of Calgary, a successful application that combines online and batch processing to generate student transcripts, is described. In addition to improved service to students and alumni, the registrar's operating budget has been reduced and productivity has increased. (Author/MLW)
Descriptors: Academic Records, College Administration, Data Processing, Databases
Hollowell, David E. – CAUSE/EFFECT, 1978
A major information systems planning study undertaken by Boston University and recommendations that were made to enable the university to meet the new demands and changing priorities of educational management are discussed. (BH)
Descriptors: Case Studies, College Administration, College Planning, Computer Science
Duckenfield, C. J. – CAUSE/EFFECT, 1985
Clemson University has developed an on-campus videotex system that was used in a one-way bulletin board application but is being expanded to provide two-way communications. A description of videotex and how it has been and will be used at Clemson is provided. (Author/MLW)
Descriptors: Computers, Databases, Higher Education, Information Dissemination
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
Brush, Leonard M.; Schaller, Anthony J. – CAUSE/EFFECT, 1988
Carnegie Mellon University has leveraged its technological expertise with database management systems (DBMS) into joint technological and developmental partnerships with DBMS and application software vendors. Carnegie's relational database strategy, the strategy of partnerships and how they were formed, and how the partnerships are doing are…
Descriptors: College Administration, Computer Software, Databases, Higher Education
Lowry, Christina; Little, Robert – CAUSE/EFFECT, 1985
The benefits of prototyping as a basis for system design include better specifications, earlier discovery of omissions and extensions, and the likelihood of salvaging much of the effort expended on the prototype. Risks and methods of prototyping during rapid systems development are also noted. (Author/MLW)
Descriptors: Data Processing, Databases, Higher Education, Information Systems
Arns, Robert G.; Urban, Patricia A. – CAUSE/EFFECT, 1984
Issues in determining how to develop a data communications system at colleges and universities are discussed including; technical requirements; cost; implications for coordination and (de)centralization of hardware/software; deciding when to create a data network; data security, information integrity, and organizational development. (Author/MLW)
Descriptors: Databases, Higher Education, Information Networks, Information Science
Marshall, Dorothy M. – CAUSE/EFFECT, 1989
Migrating from a traditional to a relational database technology requires more than traditional project management techniques. An overview of what to consider before migrating to relational database technology is presented. Leadership, staffing, vendor support, hardware, software, and application development are discussed. (MLW)
Descriptors: Computer Software, Computers, Databases, Higher Education
Heterick, Robert C. – CAUSE/EFFECT, 1986
The need for a coherent information systems development strategy that integrates both voice and data communications with computing into the campus computing environment is described. The need for a strategy, as opposed to a set of goals, in light of rapidly changing technological parameters, is discussed. (MLW)
Descriptors: College Planning, Computers, Databases, Higher Education
Mason, Thomas R. – CAUSE/EFFECT, 1985
Artificial intelligence programing for computers is advancing rapidly. The translation of databases into an institutional research knowledge base is explored, including the heuristic knowledge of institutional research experience. (Author/MLW)
Descriptors: Artificial Intelligence, College Administration, Computer Software, Databases
Cobb, Jennifer T. – CAUSE/EFFECT, 1982
The University of Georgia's course offerings system, an online registration system, is described. All section data are entered and maintained online; every element is immediately validated against the course, faculty, and facilities databases or tables. The data is the source for student schedule reporting, space utilization, and budget reporting.…
Descriptors: College Administration, Courses, Databases, Higher Education
Howard, Richard D.; And Others – CAUSE/EFFECT, 1989
The distribution of databases physically separates users from those who administer the database and the administrators who perform database administration. By drawing on the work of social scientists in reliability and validity, a set of concepts and a list of questions to ensure data quality were developed. (Author/MLW)
Descriptors: College Administration, Computers, Data, Databases
Arns, Robert G.; Curran, Fred A. – CAUSE/EFFECT, 1983
Strategic planning and strategy implementation in colleges and universities are examined and the implications for the design of information systems are discussed. At the University of Vermont it has not been necessary to decentralize access to major databases for strategic planning or strategy implementation purposes. (MLW)
Descriptors: Change, College Administration, Databases, Decision Making
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
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