Scary shit, they are talking about holistic tracking, akin to China:
Examples of what we mean by citizen data include:
• Unique identifiers (e.g. NHS or passport number)
• Shared identifiers (e.g. name, date of birth, address)
• Biometric data (e.g. DNA, fingerprints)
• Medical, educational or other records
• Data generated or observed through interaction with services or devices, such as
o Internet browsing history, tracking cookies, IP addresses
o Video data (e.g. CCTV images)
o Utility usage data (e.g. from smart meters)
o Data generated though interaction with Internet of Things (IoT) devices (e.g.
voice recordings)
o Consumer data (e.g. online shopping behaviour)
o Social media data
o Location data (e.g. through fitness tracker apps)
• Inferences, predictions and assumptions derived from data about people (e.g. digital
profiles used for targeted advertising)
• Metadata relating to data about people (e.g. when and how data was generated)
• De-identified data (e.g. medical records with identifying fields removed or changed,
for use in scientific research and planning)
• Aggregate data such as census information, even if it is reportedly anonymised
Scary shit, they are talking about holistic tracking, akin to China:
Examples of what we mean by citizen data include: • Unique identifiers (e.g. NHS or passport number) • Shared identifiers (e.g. name, date of birth, address) • Biometric data (e.g. DNA, fingerprints) • Medical, educational or other records • Data generated or observed through interaction with services or devices, such as o Internet browsing history, tracking cookies, IP addresses o Video data (e.g. CCTV images) o Utility usage data (e.g. from smart meters) o Data generated though interaction with Internet of Things (IoT) devices (e.g. voice recordings) o Consumer data (e.g. online shopping behaviour) o Social media data o Location data (e.g. through fitness tracker apps) • Inferences, predictions and assumptions derived from data about people (e.g. digital profiles used for targeted advertising) • Metadata relating to data about people (e.g. when and how data was generated) • De-identified data (e.g. medical records with identifying fields removed or changed, for use in scientific research and planning) • Aggregate data such as census information, even if it is reportedly anonymised