Description
This dataset is a central catalogue of Data Protection Impact Assessments (DPIAs) of smart city projects that collect personal information in public spaces. By publishing this in one place for the first time, it will enable public transparency and support good practice among operators.
A DPIA helps to identify and minimise the risks of a project that uses personal data.
Further information:
DPIA registration form: https://www.london.gov.uk/dpia-register-form
Information Commissioner DPIA: https://ico.org.uk/for-organisations/guide-to-data-protection/guide-to-the-general-data-protection-regulation-gdpr/accountability-and-governance/data-protection-impact-assessments/
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| Queen Elizabeth Olympic Park Projects | Open resource | ||
| WiFi data collection on London Underground | Unknown | Open resource | |
| Retrospective Facial Recognition | Open resource | ||
| Inner London ULEZ Expansion | Unknown | Open resource | |
| Google Streetview at London Underground Stations | Unknown | Open resource | |
| London Wide ULEZ Expansion | Unknown | Open resource | |
| Live Facial Recognition | Open resource | ||
| TfL participation in TfL's participation in the National Register of Refusals, Revocations and Suspensions for Taxi and Private Hire drivers | Unknown | Open resource | |
| University College London research to understand how Covid infection risk would vary according to different levels of crowding using encrypted CCTV data alongside data from surface and air sampling | Unknown | Open resource | |
| Processing of personal data collected in connection with the TfL GO App | Unknown | Open resource | |
| Transport for London (TfL) research analysing images to quantify the percentage of people that were complying with the Covid face covering policy | Unknown | Open resource | |
| Taxi and Private Hire data transfer and masking | Unknown | Open resource | |
| Smart Stations - Willesden Green trial | Unknown | Open resource | |
| Covid transmission research project with Newcastle University, analysing images to assess proximity and surface contact by passengers on the London Underground | Unknown | Open resource | |
| London Wide ULEZ Use of ANPR Mobile Vehicles | Unknown | Open resource | |
| Trial of GPS to locate and retrieve lost and stolen Cycle Hire Scheme bikes | Unknown | Open resource | |
| Queen Elizabeth Olympic Park Wifi | Open resource | ||
| Queen Elizabeth Olympic Park Projects | Open resource | ||
| Queen Elizabeth Olympic Park Wifi | Open resource | ||
| Google Streetview at London Underground Stations | Unknown | Open resource | |
| Transport for London (TfL) research analysing images to quantify the percentage of people that were complying with the Covid face covering policy | Unknown | Open resource | |
| Transport for London (TfL) research analysing images to quantify the percentage of people that were complying with the Covid face covering policy | Unknown | Open resource | |
| Covid transmission research project with Newcastle University, analysing images to assess proximity and surface contact by passengers on the London Underground | Unknown | Open resource | |
| University College London research to understand how Covid infection risk would vary according to different levels of crowding using encrypted CCTV data alongside data from surface and air sampling | Unknown | Open resource | |
| University College London research to understand how Covid infection risk would vary according to different levels of crowding using encrypted CCTV data alongside data from surface and air sampling | Unknown | Open resource | |
| Transport for London (TfL) research analysing images to quantify the percentage of people that were complying with the Covid face covering policy | Unknown | Open resource | |
| University College London research to understand how Covid infection risk would vary according to different levels of crowding using encrypted CCTV data alongside data from surface and air sampling | Unknown | Open resource | |
| University College London research to understand how Covid infection risk would vary according to different levels of crowding using encrypted CCTV data alongside data from surface and air sampling | Unknown | Open resource | |
| University College London research to understand how Covid infection risk would vary according to different levels of crowding using encrypted CCTV data alongside data from surface and air sampling | Unknown | Open resource | |
| Transport for London (TfL) research analysing images to quantify the percentage of people that were complying with the Covid face covering policy | Unknown | Open resource | |
| Transport for London (TfL) research analysing images to quantify the percentage of people that were complying with the Covid face covering policy | Unknown | Open resource | |
| University College London research to understand how Covid infection risk would vary according to different levels of crowding using encrypted CCTV data alongside data from surface and air sampling | Unknown | Open resource | |
| Transport for London (TfL) research analysing images to quantify the percentage of people that were complying with the Covid face covering policy | Unknown | Open resource | |
| Transport for London (TfL) research analysing images to quantify the percentage of people that were complying with the Covid face covering policy | Unknown | Open resource | |
| University College London research to understand how Covid infection risk would vary according to different levels of crowding using encrypted CCTV data alongside data from surface and air sampling | Unknown | Open resource | |
| University College London research to understand how Covid infection risk would vary according to different levels of crowding using encrypted CCTV data alongside data from surface and air sampling | Unknown | Open resource | |
| Transport for London (TfL) research analysing images to quantify the percentage of people that were complying with the Covid face covering policy | Unknown | Open resource | |
| University College London research to understand how Covid infection risk would vary according to different levels of crowding using encrypted CCTV data alongside data from surface and air sampling | Unknown | Open resource | |
| University College London research to understand how Covid infection risk would vary according to different levels of crowding using encrypted CCTV data alongside data from surface and air sampling | Unknown | Open resource | |
| Transport for London (TfL) research analysing images to quantify the percentage of people that were complying with the Covid face covering policy | Unknown | Open resource | |
| Transport for London (TfL) research analysing images to quantify the percentage of people that were complying with the Covid face covering policy | Unknown | Open resource | |
| Covid transmission research project with Newcastle University, analysing images to assess proximity and surface contact by passengers on the London Underground | Unknown | Open resource | |
| Transport for London (TfL) research analysing images to quantify the percentage of people that were complying with the Covid face covering policy | Unknown | Open resource | |
| University College London research to understand how Covid infection risk would vary according to different levels of crowding using encrypted CCTV data alongside data from surface and air sampling | Unknown | Open resource | |
| University College London research to understand how Covid infection risk would vary according to different levels of crowding using encrypted CCTV data alongside data from surface and air sampling | Unknown | Open resource | |
| Transport for London (TfL) research analysing images to quantify the percentage of people that were complying with the Covid face covering policy | Unknown | Open resource | |
| University College London research to understand how Covid infection risk would vary according to different levels of crowding using encrypted CCTV data alongside data from surface and air sampling | Unknown | Open resource | |
| Transport for London (TfL) research analysing images to quantify the percentage of people that were complying with the Covid face covering policy | Unknown | Open resource | |
| Covid transmission research project with Newcastle University, analysing images to assess proximity and surface contact by passengers on the London Underground | Unknown | Open resource | |
| Transport for London (TfL) research analysing images to quantify the percentage of people that were complying with the Covid face covering policy | Unknown | Open resource | |
| University College London research to understand how Covid infection risk would vary according to different levels of crowding using encrypted CCTV data alongside data from surface and air sampling | Unknown | Open resource | |
| London Wide ULEZ Use of ANPR Mobile Vehicles | Unknown | Open resource | |
| London Wide ULEZ Use of ANPR Mobile Vehicles | Unknown | Open resource | |
| London Wide ULEZ Use of ANPR Mobile Vehicles | Unknown | Open resource | |
| London Wide ULEZ Use of ANPR Mobile Vehicles | Unknown | Open resource | |
| London Wide ULEZ Expansion | Unknown | Open resource | |
| London Wide ULEZ Expansion | Unknown | Open resource | |
| London Wide ULEZ Use of ANPR Mobile Vehicles | Unknown | Open resource | |
| London Wide ULEZ Expansion | Unknown | Open resource | |
| London Wide ULEZ Use of ANPR Mobile Vehicles | Unknown | Open resource | |
| London Wide ULEZ Use of ANPR Mobile Vehicles | Unknown | Open resource | |
| London Wide ULEZ Expansion | Unknown | Open resource | |
| Inner London ULEZ Expansion | Unknown | Open resource | |
| London Wide ULEZ Expansion | Unknown | Open resource | |
| London Wide ULEZ Expansion | Unknown | Open resource | |
| Inner London ULEZ Expansion | Unknown | Open resource | |
| London Wide ULEZ Expansion | Unknown | Open resource | |
| Inner London ULEZ Expansion | Unknown | Open resource | |
| London Wide ULEZ Use of ANPR Mobile Vehicles | Unknown | Open resource | |
| London Wide ULEZ Use of ANPR Mobile Vehicles | Unknown | Open resource | |
| London Wide ULEZ Expansion | Unknown | Open resource | |
| Inner London ULEZ Expansion | Unknown | Open resource | |
| Inner London ULEZ Expansion | Unknown | Open resource | |
| Inner London ULEZ Expansion | Unknown | Open resource | |
| Inner London ULEZ Expansion | Unknown | Open resource | |
| London Wide ULEZ Expansion | Unknown | Open resource | |
| Inner London ULEZ Expansion | Unknown | Open resource | |
| London Wide ULEZ Expansion | Unknown | Open resource | |
| Inner London ULEZ Expansion | Unknown | Open resource | |
| Inner London ULEZ Expansion | Unknown | Open resource | |
| London Wide ULEZ Expansion | Unknown | Open resource | |
| Inner London ULEZ Expansion | Unknown | Open resource | |
| London Wide ULEZ Expansion | Unknown | Open resource | |
| Inner London ULEZ Expansion | Unknown | Open resource | |
| London Wide ULEZ Use of ANPR Mobile Vehicles | Unknown | Open resource | |
| London Wide ULEZ Use of ANPR Mobile Vehicles | Unknown | Open resource | |
| Inner London ULEZ Expansion | Unknown | Open resource | |
| London Wide ULEZ Use of ANPR Mobile Vehicles | Unknown | Open resource | |
| London Wide ULEZ Expansion | Unknown | Open resource | |
| London Wide ULEZ Use of ANPR Mobile Vehicles | Unknown | Open resource | |
| London Wide ULEZ Use of ANPR Mobile Vehicles | Unknown | Open resource | |
| London Wide ULEZ Expansion | Unknown | Open resource | |
| Inner London ULEZ Expansion | Unknown | Open resource | |
| Trial of GPS to locate and retrieve lost and stolen Cycle Hire Scheme bikes | Unknown | Open resource | |
| Trial of GPS to locate and retrieve lost and stolen Cycle Hire Scheme bikes | Unknown | Open resource | |
| Trial of GPS to locate and retrieve lost and stolen Cycle Hire Scheme bikes | Unknown | Open resource | |
| Trial of GPS to locate and retrieve lost and stolen Cycle Hire Scheme bikes | Unknown | Open resource | |
| Trial of GPS to locate and retrieve lost and stolen Cycle Hire Scheme bikes | Unknown | Open resource | |
| Trial of GPS to locate and retrieve lost and stolen Cycle Hire Scheme bikes | Unknown | Open resource | |
| Trial of GPS to locate and retrieve lost and stolen Cycle Hire Scheme bikes | Unknown | Open resource | |
| Trial of GPS to locate and retrieve lost and stolen Cycle Hire Scheme bikes | Unknown | Open resource | |
| Trial of GPS to locate and retrieve lost and stolen Cycle Hire Scheme bikes | Unknown | Open resource | |
| Trial of GPS to locate and retrieve lost and stolen Cycle Hire Scheme bikes | Unknown | Open resource | |
| Trial of GPS to locate and retrieve lost and stolen Cycle Hire Scheme bikes | Unknown | Open resource | |
| Trial of GPS to locate and retrieve lost and stolen Cycle Hire Scheme bikes | Unknown | Open resource | |
| Trial of GPS to locate and retrieve lost and stolen Cycle Hire Scheme bikes | Unknown | Open resource | |
| Trial of GPS to locate and retrieve lost and stolen Cycle Hire Scheme bikes | Unknown | Open resource | |
| Taxi and Private Hire data transfer and masking | Unknown | Open resource | |
| TfL participation in TfL's participation in the National Register of Refusals, Revocations and Suspensions for Taxi and Private Hire drivers | Unknown | Open resource | |
| Processing of personal data collected in connection with the TfL GO App | Unknown | Open resource | |
| Processing of personal data collected in connection with the TfL GO App | Unknown | Open resource | |
| Processing of personal data collected in connection with the TfL GO App | Unknown | Open resource | |
| Processing of personal data collected in connection with the TfL GO App | Unknown | Open resource | |
| Processing of personal data collected in connection with the TfL GO App | Unknown | Open resource | |
| Processing of personal data collected in connection with the TfL GO App | Unknown | Open resource | |
| Processing of personal data collected in connection with the TfL GO App | Unknown | Open resource | |
| Processing of personal data collected in connection with the TfL GO App | Unknown | Open resource | |
| Processing of personal data collected in connection with the TfL GO App | Unknown | Open resource | |
| Processing of personal data collected in connection with the TfL GO App | Unknown | Open resource | |
| Processing of personal data collected in connection with the TfL GO App | Unknown | Open resource | |
| Processing of personal data collected in connection with the TfL GO App | Unknown | Open resource | |
| Processing of personal data collected in connection with the TfL GO App | Unknown | Open resource | |
| Processing of personal data collected in connection with the TfL GO App | Unknown | Open resource | |
| WiFi data collection on London Underground | Unknown | Open resource | |
| Smart Stations - Willesden Green trial | Unknown | Open resource | |
| Live Facial Recognition | Open resource | ||
| Retrospective Facial Recognition | Open resource |