In 1999, when I was technical director at Benetton, I started a project to apply linear neural networks - the keys to teaching computers to classify information in the same way as a human brain - to investigate the relationship between car set-up and how well the driver rated the handling of the car.
In those days, we wrote our own data analysis software and indeed built our own data acquisition systems as there were no proprietary products that approached our requirements. This made it reasonably easy to embed the electronic setup sheet into the header of the downloaded data. I also devised a very precise way of encouraging the drivers to be less subjective in their description using a flow chart that related their difficulty in a corner and their perceived loss of time to a single rating from one to five.
The final part of the infrastructure at that time was a separate Oracle SQL database that held all our data, setup sheets and driver comments. It could be interrogated in many ways. This was useful in that, if you were considering trying, say, a stiffer front roll bar, you could query the database for every time you had changed from a type 1 to a type 2 front anti-roll bar and it would come up with the set-up, data and driver comments.