Varying levels of data on the personal health, training and performance of drivers may be collected from several sources including:  

• Applications to More than Equal’s Driver Development Programme  
• More than Equal’s Driver Development Programme  
• More than Equal’s Driver Preparation Programme 
• More than Equal’s Driver Community  

When profiling and monitoring the personal health, training and performance of drivers, More than Equal adheres to the general privacy principles and data protection rights outlined in the More than Equal Privacy Notice but also follows specific Data Protection principles outlined in the Privacy Notice. 

Personal data and consent 

Before personal data on the health, training and performance of any driver is gathered, drivers (and their parents/guardians if they are under the age of 18 years old or a vulnerable adult) are required to give their informed consent to both More than Equal and their nominated data collection and storage service provider (for example, Smartabase and Hintsa although this could be subject to change) to collect, process and use their personal data. See below for details on how your personal data will be stored, processed and used.  

Categories of personal data that may be collected from drivers are listed in Table 1.  

Some of the personal data that we collect is classified as special category data (for example, race and ethnicity, biometric and health data). Special category data encompasses sensitive personal information and warrants additional protection under data protection laws like the GDPR.  

The level of personal health, training and performance data collected from drivers may vary depending on the source that it is collected from. For example, the personal health, training and performance data collected from applicants to More than Equal’s Driver Development Programme will not be as in-depth as the data collected from those who are selected to participate in the Driver Development Programme. 

Table 1: Categories of data collected

Data anonymisation and aggregation 

Whenever possible, we perform the necessary steps to anonymise and aggregate personal health, training and performance data. This is done to ensure that your data cannot be identified and to enhance your privacy. 

In instances where full anonymisation cannot be undertaken, such as when ongoing analysis requires the ability to link data back to a driver’s data, we use pseudonymisation techniques. 

Pseudonymisation techniques involve removing identifiers from personal data (for example, names) and replacing personally identifiable information with a unique code that does not reveal the individual's identity. The 'key' that links pseudonyms to actual identifiers is stored securely and separately from the pseudonymised data to ensure that re-identification is not possible without access to this key. 

Anonymized or aggregated data shall no longer be considered personal data and shall not be covered by the obligation to disclose or delete data (for example, under the right to erasure). We shall be entitled to use and store such data for our own purposes beyond the end of the training and performance monitoring period. 

Data sharing, storage and processing 

We will share and store your personal information with our service providers. 

These providers, who from time to time will act as processors, are based in the United Kingdom and European Union.  

Below is a non-exhaustive list (which we may update or supplement from time to time) of our providers. Some of our service providers may use further sub-processors and for full details, please see their respective privacy policies. 

1. Smartabase 
2. Hintsa 
3. F1 Academy 
4. Manchester Metropolitan University 

Data dissemination 

Different sources of driver data (for example, gender, sleep, age, experiences, training status, mental and physical fitness etc.) will be triangulated with publicly accessible driving results data to build a clear picture of a driver’s training and performance status, and to more generally build a profile of what top drivers ‘look’ like at different levels of competition.  

Using this data, we will produce anonymised aggregate level research reports that will be published publicly. However, at no point will drivers be made personally identifiable without first receiving the relevant written consents.  

Instances where we may ask for your consent for your personal data to be made identifiable include if we wanted to publish a research paper on your driver journey (especially if you win any championship including Formula 1). However, we would only publish your data with explicit written consent, and you would be able to see the final copy of the results before publication.  

Additionally, we will create an anonymised database of the training and performance status of drivers. This anonymised database will be shared with relevant stakeholders including team managers. Drivers will not be personally identifiable but, if a team manager is interested in the profile of a specific driver, More than Equal will contact the driver and their parent/guardian and ask for consent to share their contact details with the team manager and in doing so de-anonymise their driver passport. This process will potentially support the identification of talented drivers.