Once a year for the past 7 years I have done a data capture for the research I do as the USA Track & Field biomechanist for the top shot putters in the country.The data capture takes place at the US National Championships / Olympic trials and is used for quantitative 3D motion analysis that is then given to the athletes and their coaches. The process of the data collection requires meticulous standards of setup be made to ensure that valid and quality data can be produced. Any number of slipups in setup or unexpected changes due to grumpy officials, getting moved by tv crews, etc can make the entire data collection completely worthless and unusable. This means significant grant money would go unused and athletes would not receive the scientifically sound research that they’ve come to receive for another year. And because the data collection can only occur at one time each year, requires meticulous adherence to proper research procedures, and involves a variety of unexpected unknowns there is a pretty decent chance that something like that could happen. Unlike research conducted in a lab there are no ‘do-overs.’ Basically, you’ve got one chance to get it right each year and if you don’t you’re screwed. If you ever find yourself in situations like this here are some tips I’ve found useful:
Normally I am the guy who arrives at the last minute and is pulling everything together right at the end. But with something where quality standards are high and opportunities to correct are practically non-existant I make sure I give myself extra time to be prepared.
I know not too many people reading this are likely to be biomechanists and even fewer who work in field (as opposed to lab) settings but I think these general tips can be useful for a variety of situations. If you’ve got any tips that don’t fit in to what I’ve listed above please share it in the comments.