Quality evaluation criteria

This page is a knowledge crystal of subtype variable. The page identifier is Op_en2685
Moderator:Nobody (see all) Click here to sign up.
Upload data {{#opasnet_base_link:Op_en2685}}

Scope

What is a set of quality evaluation measures such that it fulfils the following criteria:

• The evaluation measures are applicable to all objects.
• The evaluation brings information about the properties of the goodness of the object.

Definition

Data

• NUSAP criteria could be used here?

Amount of data

Amount of data can be measured with this question: How many sets of independent observations are used as data for defining the object?

Typically, each individual scientific article is one set of observations. However, if several articles are derived from the same observations, they should be counted as one set. There are also intermediate situations. For example, several follow-ups may be published from the same cohort. They are clearly not independent, but a later follow-up clearly includes observations that are not included in the previous one. In this case, the discussion should be whether the previous follow-up has any additional merit given the later one. It might for example be better for describing the impacts of exposures occurring at early stages of the follow-up.

Dependencies

• Properties of good assessments

Result

Amount of data is a quantitative measure with the following result domain:

• Number of independent sources of information. This doesn't need to be an integer, if sources are only partly independent.
• 0 means a "guesstimate" where the object result is based on general knowledge without any citable sources of information.
• -1 means a place holder that contains little or no information about the topic; it is just used to make a technically complete object that can be used in testing the usage of the object in e.g. an assessment model.