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Data Redaction

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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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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 overview of cloud computing security and privacy, covering both technical and legal aspects.
A comprehensive overview of privacy issues and challenges in big data, covering both technical and legal aspects.
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