I am a researcher in psychology and I am trying to come up with a framework/platform in which psychological phenomena can be studied from a dynamical systems / computational perspective in collaboration with many labs. To be more concrete, the question is how to organize knowledge about psychological variables and how they are coupled by functional relationships on different time-scales that may be a function of additional variables.
My hope was to learn from disciplines that already work with a dynamical systems/computational framework for a long time. The first interesting analogy I came across were metabolic networks. I read this review about their reconstruction and while many things are different, the task is very similar to ours in that a given network of entities and functional relationships is continuously refined by the scientific community.
I saw that there are many data bases with genes, pathways, annotated graphs etc. but my main question is:
How is the scientific process of refining such a metabolic network organized? Are there platforms for this? Is there anything in place to quantify the uncertainty associated with parts of the network or to resolve disagreements? Are there any standards for implementations? Or is each group simply creating their own version based on previous literature and then publishing their new network in a paper?
I realize that this is a rather broad question and I apologize if I posted this in the wrong stackexchange forum. But I didn't know where else it would fit. I'd appreciate a lot if someone could give me some basic insights about how this field works or if someone has some pointers to relevant reading material.