Data types/sources systematic reviews

The presence of systematic errors is, potentially, the most important source of uncertainty. There is no possibility to handle systematic errors using statistics statistical methods may indicate their presence, no more. Systematic errors in the chemical model have been mentioned. In addition there may be systematic errors in the methods used. By comparing experimental data obtained with different experimental methods one can obtain an indication of the presence and magnitude of such errors. The systematic errors of this type are accounted for both in the review of the literature and when taking the... 

All measurements, of course, are subject to error. The extent to which the person doing the measurement has taken care to identify and minimize the sources of experimental error will strongly influence the value of that measurement to the scientific community. The value of the data reported in the primary literature can be enhanced by an independent review and critical evaluation, a process which has been carried out in a systematic manner in many areas of chemistry. This article will discuss the types of property data that are of importance in chemistry, the methodology for critical evaluation of these data, and steps that are being taken to make the data as reliable and useful as possible. 

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