Data Handling Ethics

Question 1

What are some core concepts based on which data Handling ethics are centered on?

Answer 1

Impact on people
Potential for misuse
Economic value of data

Question 2

What are the deliverables of data Handling ethics during data management

Answer 2

Current practices and gaps
Ethical data Handling strategy
Communication plan
Ethics training program
Ethical corporate statements on Data
Awareness to ethical data issues
Aligned incentives, KPIs and targets
Updated policies
Ethical data Handling reporting

Question 3

What are the two parts of beneficence wrt ethical principles

Answer 3

Do not harm
Maximize possible benefits, minimise possible harms.

Question 4

What are the three ethical principles for data

Answer 4

Respect for people
Beneficence
Justice

Question 5

What is data obfuscation and redaction ?

Answer 5

Making information anonymous and removing or masking sensitive information

Question 6

Where are the risks of unethical data Handling practices?

Answer 6

Timing
Misleading visualisation
Unclear definitions and invalid comparisons
Bias
Transforming and integration data
Obfuscation / redaction of data

Question 7

What is the relation between data Handling ethics principles, risks, practices and control.

Answer 7

Principles should be aligned with risks and practices. Practices should be supported by controls.

Question 8

What should be contained in the ethical data Handling strategy and roadmap?

Answer 8

Value statements
Ethical data Handling principles
Compliance framework
Risk assessments
Training and communications
Roadmap
Approach to auditing and monitoring