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Crawford, Walt – Information Technology and Libraries, 1984
Considers fundamental decisions that shaped the output products of Research Libraries Information Network. Product Batch was designed using single data definition (RMARC) combined with standard PL/I, modular programing techniques, program documentation. Choice of software and programing languages, other design aspects (accountability, count…
Descriptors: Computer Software, Data Processing, Databases, Information Systems
CAUSE/EFFECT, 1985
The University of Arizona has begun to reorganize campus computing. Six working groups were formed to address six areas of computing: academic computing, library automation, administrative data processing and information systems, writing and graphics, video and audio services, and outreach and public service. (MLW)
Descriptors: College Administration, Computer Oriented Programs, Computers, Data Processing

Pollard, William E.; And Others – Evaluation and Program Planning: An International Journal, 1985
The role of documentation in the planning and control functions of project management is reviewed. The importance of documentation in the assessment of research quality with respect to objectivity, validity, and replicability is discussed. An outline of documentation required in different phases of research projects is provided. (Author/DWH)
Descriptors: Administration, Data Processing, Documentation, Evaluation Criteria
Hazony, Yehonathan – Perspectives in Computing, 1983
Computer-integrated manufacturing (CIM) involves use of data processing technology as the vehicle for full integration of the total manufacturing process. A prototype research and educational facility for CIM developed with industrial sponsorship at Princeton University is described. (JN)
Descriptors: Automation, Computer Oriented Programs, Data Processing, Educational Facilities
CAUSE/EFFECT, 1985
A strategic plan for the University of Miami charts specific objectives, programmatic and financial, that will lead it to prominence among the nation's teaching and research universities. Long-range plans for the information systems and academic systems of the university are discussed. (MLW)
Descriptors: College Administration, College Planning, Computers, Data Processing
Sholtys, Phyllis – CAUSE/EFFECT, 1983
The development of information systems using an engineering approach that uses both traditional programing techniques and fourth generation software tools is described. Fourth generation applications tools are used to quickly develop a prototype system that is revised as the user clarifies requirements. (MLW)
Descriptors: Computer Programs, Data Processing, Higher Education, Information Systems

Heydinger, Richard B.; Norris, Donald M. – New Directions for Institutional Research, 1976
The expanding networks of computer hardware, software, and organizations for controlling them and the institutional data bases they access are described. Improvements are making the data sources accessible but raise some new problems for data managers and institutional researchers. (Author/LBH)
Descriptors: Computer Science, Data Processing, Databases, Higher Education

Stair, Ralph M.; Render, Barry – Business Education Forum, 1977
Experience with mass sections in the Introduction to Business Data Processing course at the University of New Orleans has been positive. The innovations described in this articles have not only helped to conserve scarce resources but have, in the author's opinion, provided the potential for a more effective and efficient course. (HD)
Descriptors: Business Education, Course Organization, Data Processing, Instructional Design
Darrow, J. W.; Slivka, R. T. – Rutgers Journal of Computers and the Law, 1976
Both accidental and intentional events may compromise the security of an electronic data processing system. Ways of assessing security needs are surveyed, and measures that can be taken to prevent, detect, and recover from security breaches are described. (Author/LBH)
Descriptors: Computer Storage Devices, Computers, Confidential Records, Data Processing
Kang, ByungHoon; Wilensky, Robert – 2001
This paper describes a model of self-administering data. In this model, a declarative description of how a data object should behave is attached to the object, either by a user or by a data input device. A widespread infrastructure of self-administering data handlers is presumed to exist; these handlers are responsible for carrying out the…
Descriptors: Access to Information, Data Processing, Electronic Libraries, Information Management

And Others; Zipperer, William C. – Journal of Chemical Documentation, 1974
The relative retrieval performances of the CA Integrated Subject File (CAISF), CA Condensates, and a Merged File created from these two data bases were measured. Retrieval performance is reported in terms of recall, precision values, and costs. (Author/JB)
Descriptors: Chemistry, Comparative Analysis, Cost Effectiveness, Data Processing
McConnell, Thomas – AEDS Monitor, 1973
A look at how the Atlanta Public Schools has utilized computers for collecting data to support a large community of computer users and a variety of computer applications. (Author/HB)
Descriptors: Computer Assisted Instruction, Computer Science, Data Collection, Data Processing

Torkington, Roy B. – Journal of Library Automation, 1973
A description is presented of the project of the University of California Library Automation Program to cumulate the 1966 through 1971 supplements to the Library of Congress Subject Headings. (4 references) (Author)
Descriptors: Book Catalogs, Cataloging, Computer Programs, Data Processing

Meyer, Donald – Community and Junior College Journal, 1973
In attempting to find a new and less expensive solution to its data processing needs a community college leased its computer time from a service center. (Author/RK)
Descriptors: Community Colleges, Computer Programs, Computers, Data Processing
Shawhan, Gerald B.; Tucker, Joseph B. – College and University Business, 1973
The 34 state-assisted universities and 2-year institutions in Ohio are jointly undertaking a broad program of management improvement that includes 5 specific areas: institutional planning, program budgeting, personal management, student records, and data processing. (Author/PG)
Descriptors: Community Colleges, Data Processing, Educational Administration, Higher Education