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Types of Personal Data

Ci spiace, ma questo articolo è disponibile soltanto in Inglese e Russo.

The explosive growth in the quantity and quality of personal data in the last decade has stimulated new opportunities in economic and social fields. But there are two sides to every story. The irresponsible approach to the collection, processing, storage, and distribution of personal information has led to many leaks and, consequently, to its illegal use. Often we do not even realize how much personal data about each of us is collected and stored.

TYPES OF PERSONAL DATA

  • Identity
  • Financial
  • Government Records
  • Health
  • Content
  • ePortfolio
  • Communications
  • Relationships
  • Context
  • Activity

 

 

Identity:

  • Identifiers:
    • Usernames
    • Emails
    • Phone Numbers
    • Nicknames
    • Personas
  • Personal Devices
    • Device IP
    • IP Addresses
    • Bluetooth IDs
    • SSIDs
    • SIMs
    • IMEIs
  • Demographic Data:
    • Age
    • Sex
    • Addresses
    • Education
    • Work History
    • Resume
  • Declared Interests:
    • Likes
    • Favorites
    • Preferences
    • Settings

 

Financial:

  • Financial
    • Incomes
    • Expenses
    • Transactions
    • Taxes
    • Assets
    • Accounts
    • Liabilities
    • Insurance
    • Credit Rating
    • Corporations
  • Goods:
    • Virtual
    • Digital Records of Physical

 

Government Records:

  • Legal Names
  • Life Events:
    • Records of Birth
    • Marriage
    • Divorce
    • Death
  • Law Enforcement
  • Military Service

 

Health:

  • Care
  • Insurance

 

Content:

  • Private Documents
  • Consumed Media:
    • Books
    • Photos
    • Videos
    • Music
    • Podcasts
    • Produced Music
    • Software

 

ePortflio:

  • Academic
  • Employment

 

 

Communications:

  • Text
    • IM/SMS
    • Posts
    • Shared Texts
    • Shared Bookmarks and Links
  • Speech
  • Social Media Consumed:
    • Photos
    • Videos
    • Streamed Videos
    • Podcasts
    • Software
    • Produced Music
  • Presence

 

 

Relationships:

  • Address book Contacts
  • Communications Contacts
  • Social Network Links
  • Family and Genealogy
  • Group Memberships
  • Call and Message Logs

 

 

Context:

  • Location:
    • Current
    • Past
    • Planned
  • People
  • Objects
  • Events:
    • Calendar Data
    • Event Data from Web Services

 

Activity:

  • Real World:
    • Eating
    • Driving
    • Sleeping
    • Shopping
  • Client Applications and OS
  • Browsed

Source: Rethinking Personal Data Pre-Read Document

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