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. |