Sports Science Data Protocol
*Corresponding author: Lorena Martin*
At the most elite level, even an increase of 1% improvement can make the difference between winning and losing. Sports scientists can help athletes gain insights that can be the differentiating factor. The purpose of this protocol is to delineate the process from the identification of key performance indicators to the presentation of the findings for sports scientists. It is designed to provide chronological steps in efforts to mitigate barriers of collecting data and tracking players as well as to help gain athlete buy-in to sports science by helping them maximize their performance.
The competitive nature of professional sports leads to players, their agents, and teams to seek the expertise in sports performance areas such as those from athletic trainers, strength and conditioning coaches, physical therapists, nutritionists, and sports psychologists. However, much of the knowledge provided by these entities typically remain in silos. Thus, the whole picture of the athlete’s performance enhancement mechanism is not elucidated. This is where the significance of a sports scientist ensues, with the ability to integrate the data from each of the sports performance areas with the objective of obtaining a complete and comprehensive picture of the athlete.
This area of collecting data and monitoring athletes is becoming mainstream. As such professional sports leagues have started to implement privacy rules and regulations on the protection of athlete biometric data. It is important to be aware of the rules related to wearable technology and athlete biometric data as well as how to go about the process of collecting data from professional athletes. That is why it is important that care be taken and a protocol be followed to ensure the integrity of data collection in the field of sports science.
Data Processing and Analyses
Data mining is the extraction of data for the purpose of discovering meaningful patterns, normalization, and the choosing of statistical models that can help in making data driven decisions. The interpretation and presentation of the data can have a large impact on the decisions. As such, a protocol should be adhered to.
The following protocol will serve as a guide on how to collect data efficiently and successfully.
Sports science; Data protocol; Sports performance; Sports scientists; Load; Professional athletes; Sports teams.