QUALITY-CONTROL OF INFORMATION:
On the concept of accuracy of information in data-banks and in management information systems
(Version 1304191625. This page's URL web address <http://www.informatik.umu.se/~kivanov/diss-avh.html>)
Ivanov, Kristo (1972). Quality-control
of information: On the concept of accuracy of information in data-banks
and in management information systems. Stockholm:
The Royal Institute of Technology KTH. (Doctoral dissertation, 258 pages).
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Abstracts International 1974, Vol 35A, 3, p. 1611-A.
The dissertation was presented to the faculty of the Royal Institute of Technology for public disputation and defense on 11 December 1972, at 2:00 pm in the hall of the university college, Valhallavägen 79, Stockholm.
SOME EVALUATIVE COMMENTS
By Churchill Eisenhart (1972).
U.S. Dept. of Commerce, National Bureau of Standards. (Letter, pdf-format:
By Edgar S. Dunn, Jr. (1972). Resources for the Future Inc. (Letter, pdf-format: Click here.)
By Laura Sebastian-Coleman (2013). Measuring Data Quality for Ongoing Improvement (see Appendix D)
Local download from this site of the dissertation in pdf-format (three parts):
Part 1 of
3 (22 MB) - Abstract, Contents, Introduction, and up to including chapter
3, see "Contents"
Part 2 of 3 (44 MB ) - Chapters 4 and 5, including Conclusions
Part 3 of 3 (48 MB) - Appendixes 1-12, and References/Bibliography
This paper is intended to assist those who develop, use, maintain, audit, or in general may be affected by so-called Data-Banks and Management Information Systems.
One purpose of the paper is to recognize the importance of accuracy, or more generally of quality of information. Data-Banks and Management Information Systems may typically imply some processing performed on externally obtained measurements and pre-processed inputs, while their outputs may be stored and used by people in unknown contexts.
To the extent that this happens it becomes more difficult to expect that the quality of information can be represented by a measure of effectiveness of systems and subsystems in relation to operational goals. Thus, a second purpose of this paper is to suggest some possibilities of attaching a measure of quality to discrete items of information, such as coded observations and intermediate computational results.
The paper consists of five chapters supporting five sets of statements regarding the consequences of present practices, and what can be done to implement the most necessary improvements. Illustrative examples emphasize administrative applications such as in public planning and in industrial manufacturing.
KEY WORDS (updated list)
Information system design, data integrity, privacy, security, secrecy, reliability, validity, precision, EDP auditing, system management, data-management, data base, actor network, inquiring systems, dialectics, cybernetics.