A feature, discovered during research, that can be expressed as a data structure like the one shown in Table 1.
Table 1 Essential Data Elements for a Research Result
|
Element |
Guidance |
Comments |
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| Topic
|
Persistent from one version to the next. Always required. Often the name of the attribute being specified, but also often heavily modified to distinguish between similar topics. | Persistence allows SE to keep track across generations of measures and values. | |||
| Measure | Abstractly, the definition for a space, which might (or might not) be functional with respect to circumstances. | The measure persists across changes in value. | |||
| Value | A region in the space defined by the measure. The region can be closed, open, or semi-open in either combination. |
See also Upon Evaluation. |
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| Substantiation | Two elements of substantiation are required:
1) Why is the measure pertinent to the Topic? 3) Why is the value correct for the stated measure?. |
The elements of substantiation may update asynchronously. In most cases, that will define additional structured relationships between them and their related element. |
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