May 1, 2024
4 minute read
Data redaction refers to the act of identifying and removing or replacing sensitive and confidential information from data, usually with the goal of protecting against unauthorized access or disclosure. Data redaction may also be used to anonymize data for research or other purposes where personally identifiable information (PII) or sensitive data should not be disclosed.
Why would someone want to learn data redaction?
There are many reasons why someone might want to learn data redaction. Some of the most common reasons include:
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Find a path to becoming a Data Redaction. Learn more at:
OpenCourser.com/topic/9vtnmj/data
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Data Redaction.
A practical guide to data redaction, covering techniques, best practices, and legal considerations.
A comprehensive overview of privacy-preserving data mining techniques, with a focus on applications in healthcare and finance.
A comprehensive and authoritative handbook on information security management, covering all aspects of the field.
A comprehensive overview of cloud computing security and privacy, covering both technical and legal aspects.
A practical guide to data protection for developers and engineers, covering technical and legal aspects.
A comprehensive overview of privacy issues and challenges in big data, covering both technical and legal aspects.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/9vtnmj/data