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)

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)

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)

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)

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.…

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)

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)

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)

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)

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)

With more and more users in colleges and universities relying on electronic information, the need for a contingency plan in the event of a disaster has become more pressing. Setting objectives, impact analysis, interim processing strategy, working with users, and a two-level approach are discussed. (MLW)

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)

Much of the power of the "information center" comes from its ability to effectively use fourth-generation productivity tools to provide information processing services. A case study of the use of these tools at Western Michigan University is presented. (Author/MLW)

The evolution of administrative data processing systems at the University of Georgia is summarized. Nolan's revised stage model was used as a framework to present the university's experience and relate it to the growing body of system implementation research. (Author/MLW)

Pepperdine University's decision support system provides: (1) user access to data through terminals; (2) the availability of retrieval modules and languages that allow the managers to structure ad hoc reports; (3) access to models through a national network; and (4) training, encouragement and consultation through coordinators. (Author/MLW)