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ABSTRACT
This paper presents a procedure for analyzing municipal information flows in order to identify discrete databases and prioritize their applications for time-phased implementation. Techniques of user communication and questionnaire design are discussed. The priorities result from specific factors which are used to numerically rate each database application area. The factors are identified and grouped into two categories: user input and implementation oriented. The databases are combined into information classes which are designed to reduce data redundancy. The information classes are used to develop appropriate hardware configurations which can efficiently meet the current and projected needs of the municipality. Examples of these techniques are drawn from an analysis performed in a large metropolitan area.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Barnes, J., Blank, L., Nelson, S., et al, City of El Paso Data Processing Study, Center for Urban Programs, Texas A&M University, June 1978.
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Kraemer, K. L., Danziger, J. N., Dutton, W. H., and Pearson, S., Chief Executives, Local Government, and Computers: A Special Report, Nation's Cities, 17 (Oct. 1975).
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Downs, A., A Realistic Look at the Final Payoffs From Urban Data Systems, Public Administration Review, 27, 204 (Sept. 1967).
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Blank, L., Nelson, S., and Barnes, J., The Role of the Public Administrator in Municipal Computerization Studies, submitted for publication.
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