91Ö±²¥

91Ö±²¥ will not obtain directly identifiable data for this research (such as names, addresses, dates of birth and NHS numbers) however, we are processing personal data.

The handling of personal data is controlled by the General Data Protection Regulation (GDPR) and associated legislation.

The following information explains in detail how and why we are processing your personal data, and explains your legal rights. Please also see the University’s Privacy Notices. We will also obtain approval from both the  and the  before obtaining any data. General information on Data Protection law is available from the .

1. The name and contact details of the lead evaluation organisation: ScHARR, 91Ö±²¥, Regent Court, 30 Regent St, 91Ö±²¥. S1 4DA
2. The name and contact details of our representative: Dr Sam Keating, Trial Manager for MATTS -  s.m.keating@sheffield.ac.uk
3. The contact details of the 91Ö±²¥ University data protection officer: Anne Cutler, Data Protection Officer, 91Ö±²¥, Western Bank, 91Ö±²¥ S10
4. The purposes of the processing: Undertaking research
5. The lawful basis for the processing: Research
   Research involving living humans:
   1. ​​​​Article 6 (1) e: processing is necessary for the performance of a task carried out in the public interest or in the exercise of official authority vested in the controller
   2. Article 9 (j): processing is necessary for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes in accordance with Article 89(1) based on Union or Member State law which shall be proportionate to the aim pursued, respect the essence of the right to data protection and provide for suitable and specific measures to safeguard the fundamental rights and the interests of the data subject
6. The legitimate interests for the processing: Not applicable
7. The categories of personal data:
   Data that is routinely collected by the Yorkshire, West Midlands, South Western and London Ambulance services:
   Demographic (CAD number, incident number, age, gender, date of incident and hospital), clinical and injury information from patients presenting with non-trivial injury to the above ambulance services.
   Data from TARN:
   Demographic (CAD number, incident number, age, gender, date of incident and hospital), clinical and injury information regarding major trauma cases from the areas coinciding with the above ambulance services
8. The recipients or categories of recipients of the personal data.
   The sponsor is 91Ö±²¥. The recipients of the study data are the MATTS research team at 91Ö±²¥. No directly identifying information (such as name, date of birth, address or NHS number) will be transferred to 91Ö±²¥.
9. The details of transfers of the personal data to any third countries or international organisations: Not applicable
10. The retention periods for the personal data: Data collected during the study will be stored in archive for 20 years.
11. The rights available to individuals in respect of the processing.
    As the University of 91Ö±²¥ does not have access to direct identifiers, it is not possible to identify information that the University holds about you in relation to this research. TARN and the Ambulance Services will check their data for any patients who have registered for the NHS ‘National data opt-out’, and remove any patients as necessary before the transfer of data. Patients can view or change their national data opt-out choice at any time by using the online service at .
12. The right to withdraw consent: Not applicable
13. The right to lodge a complaint with a supervisory authority.
    If you feel that the University has not dealt correctly with your personal data you can complain to the .
14. The source of the personal data:
    Yorkshire, West Midlands, South Western and London Ambulance services and the English national major trauma database (the Trauma Audit and Research Network, TARN)
15. The details of whether individuals are under a statutory or contractual obligation to provide personal data: Not applicable
16. The details of the existence of automated decision-making, including profiling: Not applicable