For instance, in urban transportation there are several participants, e.g., mobility service providers, infrastructure and traffic management centres, passengers, local-, and state governance etc. Each participant collect/generate- and store data. The level of integration would be higher if either
High integration would be advantageous, as development projects require data for efficient execution. The main reason of my related research is to enable efficient, standardized and data-based decision support for transportation development projects.
I've thought about interpreting data systems as graphs and calculate the level of integration, based on the number of different connections/relations between the participants, but this may result in a rather decentralised/overcomplicated system, in which, the more connections are, the higher the integration is.
I would aim to
In the next step, maybe compare the two solutions. I know there are several policy/management related barriers of data sharing (specially between the participants), this way, the data warehouse seems like a better idea. Of course, sharing data with the warehouse may assume some central legal actions (e.g., law enforcement of data sharing).
Thank you very much for your answers in advance!