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Sawtelle, Thomas K. – 1973
The Air Force Logistics Command (AFLC) is revising and enhancing its data-processing capabilities with the development of a large-scale, multi-site, on-line, integrated data base information system known as the Advanced Logistics System (ALS). A data integrity program is to be built around a Data Base Manager (DBM), an individual or a group of…
Descriptors: Computer Oriented Programs, Computer Programs, Computers, Confidentiality
Wedemeyer, Richard H. – Journal of Student Financial Aid, 1978
Computerization often requires more staff for coding, keypunching, and editing, but the management information obtained is invaluable for completing the Fiscal Operations Report and the Tripartite Application for Student Aid Funds, as well as for improving knowledge of and control over the financial aid operation. (Author/LBH)
Descriptors: Administrators, Computers, Data Processing, Higher Education
Cartisano, Joseph S. – CAUSE/EFFECT, 1987
Faced with an increasing need for data by the West Liberty State College administration and the West Virginia Board of Regents, an in-house system was designed that provides online update/inquiry to an integrated, nonredundant collection of data files via user-friendly menus. (Author/MLW)
Descriptors: Computer Networks, Computer Uses in Education, Data Processing, Higher Education
Mathezer, Gordon – CAUSE/EFFECT, 1985
The development and implementation of an institutional framework to guide the management and use of information technologies (computing, office automation, and telecommunications) at Mount Royal College in Calgary, Alberta, are described. (Author/MLW)
Descriptors: College Administration, Computers, Data Processing, Decision Making
CAUSE/EFFECT, 1986
Texas A & M University at Galveston is the only marine and maritime-oriented University in the Southwest. Its computing policy/direction, academic computing, administrative computing, and library automation are described, and hurricance emergency plans are also discussed. (MLW)
Descriptors: Automation, College Administration, College Libraries, Computers
CAUSE/EFFECT, 1984
In 1981 a project to determine the current information needs of the institution was outlined and strategies for meeting those needs were identified. Each administrative office has full responsibility for data and production scheduling, while the computing center ensures that the software and hardware are operational. (MLW)
Descriptors: Church Related Colleges, Computers, Data Processing, Higher Education
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
Fielden, John – Educational Administration Bulletin, 1972
Academic decisionmakers must be helped to use the right kind of information so that the implications of the difficult alternative choice decisions are fully spelled out. The great overriding benefit of an integrated management information approach is that it can further the institutional view and can show a broad overall picture. (Author)
Descriptors: Centralization, Communication (Thought Transfer), Data Processing, Decision Making
Peer reviewedCumming, William Kenneth – AEDS Journal, 1972
Descriptors: Change Agents, Data Processing, Educational Administration, Information 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
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
Patrick, Stephen J. – CAUSE/EFFECT, 1981
The University of Wisconsin-Stevens Point approach to implementing an ideal student records system is discussed. The characteristics of such a system are defined and a model for directing the development and implementation of a new student records system is presented. (Author/MLW)
Descriptors: College Administration, Data Processing, Higher Education, Information Processing
CAUSE/EFFECT, 1980
A visit to American University's Department of Computer Services is summarized. Administrative systems in use and currently in production are described and a productive application of "structured walk-throughs" for systems design, computer programs, procedures, and documentation is discussed. (MLW)
Descriptors: Case Studies, Computers, Data Processing, Higher Education
CAUSE/EFFECT, 1979
The Pendleton Computer Science Center of Pepperdine University is described. Computer services provided through University Information Services include management information and technical expertise for design, implementation and operation of the system. Business and academic applications of the computer facilities are also discussed. (SF)
Descriptors: Case Studies, Computers, Data Processing, Higher Education
Peer reviewedTelem, Moshe – Information Processing and Management, 1989
Presents an attempt to develop an integrated overall management information system growth and integration theory for small organizations. The three dimensions that facilitate information integration progress (i.e., electronic data processing evolution, computerized tools, and user types) are presented, analyzed, and characterized. Guidelines for…
Descriptors: Data Processing, Guidelines, Information Management, Information Technology


