Strategies for limiting the negative effects of big data.
Implementing procedures and rules for data collection, storage, and use will help to assure its accuracy, confidentiality, and security.
Implement organisational
and technical safeguards to safeguard personal data and ensure compliance with
data privacy regulations.
Data minimization refers
to the practise of gathering only the information required for a certain
purpose and then deleting it once finished.
Data quality control:
Consistently assess the precision and completeness of data, and put procedures
in place to correct problems.
Ethics-related factors
Make sure that data is gathered and used ethically, fairly, and in accordance
with the rights and freedoms of each individual.
Security of sensitive
data: Put in place strong security measures to guard against data breaches and
unauthorised access.
Employee
education: Employees should be informed of the value of handling data
responsibly, and the resources and instruction necessary should be made
available to them.
Transparency:
Be transparent about any third-party data sharing and provide clear, easily
available information regarding how data is gathered, used, and shared.
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