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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
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
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
Rokicki, Philip S.; Springer, Peggy B. – CAUSE/EFFECT, 1985
Guidelines are offered to institutions seeking to interface their diverse student and administrative databases. Administrative costs associated with maintaining separate data systems are often unnecessary, and duplication of data can make consistent and accurate reports hard to achieve. (Author/MLW)
Descriptors: College Administration, Computers, Coordination, 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
Mullins, Carolyn J. – CAUSE/EFFECT, 1986
Key tailors, desk organizers; text-oriented database programs, outlining programs, thesauruses, spelling checkers, and punctuation and style checkers are described. The functions these programs perform will probably become more common as application programs absorb the functions into their own operation. (Author/MLW)
Descriptors: College Administration, Computer Software, Data Processing, Databases
Jonas, Ronald W. – CAUSE/EFFECT, 1985
The University Information Center has transformed data retrieval and reporting from a slow process performed by high-priced technical personnel to an instantaneous service performed by those who need and can define the service required. The result at Indiana University has been improved quality of computing. (Author/MLW)
Descriptors: Change, College Administration, Computers, Data Processing
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
Steingraber, Jack K.; Kunkel, Douglas F. – CAUSE/EFFECT, 1982
The implementation plan, database design and data relationships, and benefits achievable through an integrated online/database approach to a university information system are presented. The core of the Washington State system is a central name and address file. (Author/MLW)
Descriptors: College Administration, Data Processing, Databases, Higher Education
Braniff, Tom – CAUSE/EFFECT, 1979
The use of a data base management system (DBMS) as opposed to traditional data processing is discussed. The generalized file concept is viewed as an entry level step to the DBMS. The transition process from one system to the other is detailed. (SF)
Descriptors: Change Strategies, Computer Science, Computers, Data Processing
Robinson, Robert J. – CAUSE/EFFECT, 1978
Construction of a separate data base for university planning information is proposed. Characteristics of a planning system and its relationship to other university systems are discussed as well as the need for data bases that contain both quantitative and nonquantitative information. (BH)
Descriptors: College Planning, Computer Science, Computers, Data Processing
Nicely, H. Phillip, Jr. – CAUSE/EFFECT, 1980
It is suggested that the director of personnel should be making maximum use of available computer services. Four concerns of personnel directors are cited: number of government reports required, privacy and security, cost of space for personnel records and files, and the additional decision-making tools required for collective bargaining…
Descriptors: Collective Bargaining, Computers, Data Processing, Databases
Stewart, Henry M. – CAUSE/EFFECT, 1995
The University of Rochester's experience with online analytical processing (OLAP), part of its executive information system, is reported. The server, a multiuser, local area network (LAN)-based database loaded from legacy systems or a data warehouse, can rapidly manipulate and display data, and allows quick creation and changing of analytical…
Descriptors: College Administration, Data Processing, Databases, Decision Making
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
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