Research data integrity: A result of an integrated information system
作者:
M. F. Cranmer,
L. R. Lawrence,
A. K. Konvicka,
D. W. Taylor,
S. S. Herrick,
期刊:
Journal of Toxicology and Environmental Health
(Taylor Available online 1976)
卷期:
Volume 2,
issue 2
页码: 285-299
ISSN:0098-4108
年代: 1976
DOI:10.1080/15287397609529433
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
The toxicologic problems of today frequently require long‐term, multidisciplinary experimentation involving large numbers of animals. In order to provide the extensive safety evaluation necessary to produce data that can be reasonably extrapolated to humans, automated research support systems have transcended the position of useful tools and have become an integral part of the total design of experimental protocols. For an automated information system to fully represent the reality of the experiment, it must be able to assure integrity, as well as provide for the storage, calculation, and retrieval of data values of the quality and quantity necessary for fulfilling protocol requirements. Guarantees against error and loss of data, in addition to flexibility and easy access, must be an inherent part of the system if the acceptance and confidence of the investigator are to be obtained. This paper discusses the criteria, philosophies, and benefits of integrated data systems that ensure integrity of toxicologic research support.
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