All of these connect to challenges in complexity of data and computation speed.
The complexity of data model interoperation is reduced to interoperation within a specific layer or sublayer.
Analogously, data modeling gateways can be deployed to reduce the complexity of data interoperation.
However, the complexity of data collection, transformation, and algorithms make these issues very difficult to regulate.
This complexity of data makes it clear why smartphone-based digital phenotyping must rely upon raw data.
Not surprisingly, as the number of alliance partners increases, the cost and complexity of data integration escalates non-linearly.
To harness the complexity of data interoperation, we suggest a software structuring technique similar to that used in internetworking.
Empirical studies investigating the complexity of data decomposition and communication are lacking.
As data and assay complexity increase, so too does the complexity of data analysis.
Rather, the problem is the immense (and rarely acknowledged) complexity of data collection behind these figures — one that grows worse as production itself becomes more and more globalized.
Thore Husfeldt received his PhD in computer science at Aarhus University, with a thesis on the computational complexity of data structures.
