Ethics

Well-founded standards of right and wrong prescribe what humans ought to do, usually in terms of rights, obligations, benefits to society, fairness, or specific virtues

Data ethics

Well-founded standards of right and wrong that dictate how data is collected, shared and used

GDPR

General Data Protection Regulation of the European Union

Aspects of data ethics

• Ownership
  • Individuals own the raw data they provide and they have primary control over its usage, how it's processed, and how it's shared.
• Transaction transparency
  • All data-processing activities and algorithms should be completely explainable and understood by the individual who provides their data.
• Consent
  • An individual's right to know explicit details about how and why their data will be used before agreeing to provide it.
• Currency
  • Individuals should be aware of financial transactions resulting from the use of their personal data and the scale of these transactions
• Privacy
  • Preserving a data subject's information and activity any time a data transaction occurs
    • Protection from unauthorized access to our private data
    • Freedom from inappropriate use of our data
    • The right to inspect, update or correct our data
    • Ability to give consent to use our data
    • Legal right to access the data
• Openness
  • Free access, usage, and sharing of data
  • Features of open data

data anonymization?

Healthcare and financial data are two of the most sensitive types of data. These industries rely a lot on data anonymization techniques. After all, the stakes are very high. That’s why data in these two industries usually goes through de-identification, which is a process used to wipe data clean of all personally identifying information

Data anonymization is used in just about every industry. That is why it is so important for data analysts to understand the basics. Here is a list of data that is often anonymized:

• Telephone numbers
• Names
• License plates and license numbers
• Social security numbers