Could information be data that make sense to a network?
So you start with information that makes sense. Some measurement. The target information to a machine learning network model. Then the idea is that you test some input data to see if you got some reasonable accuracy. Then you can say that the input data makes sense to this network. Which is based on sensible information. So the input data is relevant information to a degree which make sense to a network.
I think you can split the information into time information and frequency information ( histogram ). The frequency information is ?always present. Like different distributions that are somewhat predictable throughout the data.