| Data may not be relevant. |
Collecting relevant data, requires understanding of relevant concepts, their composition, how components are interrelated and how they relate to components of other concepts. |
| Relevant data may be unstructured. |
Before data can be used, they often must be arranged or otherwise processed before they can be used. |
| Structured data may not be informative. |
Often, data must be put into context or otherwise explained, to have information value. |
| Information may not be factual. |
Information can be invalid or unreliable. |
| Factual information may not be evidence. |
Information only serves as evidence, if it supports earlier suppositions. |
| Evidence may not be proof. |
Even if earlier suppositions are supported, that support may evaporate when context or some other parameter changes. |