Its six cameras transform real-time views of the road into data (corresponding to "non-trivial data collection" in our data chain).
We called this framework the "data chain," illustrating the main characteristics of data startups and the fact that data companies can be involved both in a physical layer (storage and processing) and a digital layer (non-trivial data collection, interpretation and actionable data production).
However, the non-trivial marginal costs of data collection mean there are still practical limitations to the number of measurements that can be included in a study.
There may still be non-trivial risks associated with these data collection activities – particularly in public health, where one may be working with vulnerable populations, asking sensitive questions, or working with information that is not in the public domain.
The data collection is anything but trivial and requires significant manual labor, but the outcome could be a significant and valuable dataset.
Family history is generally not difficult to collect, especially with electronic data collection tools such as the Surgeon General's My Family Health Portrait, although integrating the information into an independent electronic medical record (EMR) is not trivial.
However, costs for data processing and analysis are non-trivial and may have substantial impact on the total cost of research including both data collection (as in the present study), and subsequent processing of data into end-point exposure variables of interest; the costs of the processing method also needs to be considered when selecting an exposure assessment method.
While the costs of data collection may be substantial [ 10], the data processing stage is certainly not trivial in terms of resource consumption.
As noted above, this all may sound trivial, but we have seen too many examples where such essential aspects were only considered after completion of the data collection.
Google says the data collection was legal.
But data collection on US companies proceeded.
