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International Journal of Advances in Engineering, 2015, 1(2), 66 71 ISSN: 23949260 (printed version); ISSN: 23949279 (online version) ; URL:http://www. IAE.in SHORT Communication Enhanced Data Anonymization
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How to fill out an enhanced data anonymization

01
Start by identifying the data that needs to be anonymized. This could include personal information such as names, addresses, and social security numbers.
02
Determine the purpose for anonymizing the data. This could be to comply with privacy regulations, protect sensitive information, or for research purposes.
03
Choose a suitable technique for data anonymization. This could include methods such as generalization, masking, or encryption.
04
Implement the chosen technique to anonymize the data. This may involve replacing identifiable information with non-identifying placeholders or pseudonyms.
05
Test the effectiveness of the anonymization process. Ensure that the anonymized data cannot be easily re-identified or linked back to the original data.
06
Document the anonymization process and keep records of the steps taken. This is important for compliance purposes and to demonstrate accountability.
07
Regularly review and update the anonymization process to adapt to changes in privacy laws or emerging risks.
08
Conduct internal audits or engage third-party auditors to ensure the effectiveness and compliance of the data anonymization process.

Who needs an enhanced data anonymization?

01
Various entities may need enhanced data anonymization, including:
02
- Organizations handling sensitive customer information to protect privacy and prevent data breaches.
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- Healthcare institutions dealing with medical records to ensure HIPAA compliance and patient confidentiality.
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- Research institutions working with sensitive data to maintain anonymity and protect subject privacy.
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- Government agencies conducting population studies while preserving individuals' privacy.
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- Companies conducting market research or data analysis while maintaining privacy and complying with data protection regulations.
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Enhanced data anonymization is a process of removing personally identifiable information from data in a way that makes it difficult to re-identify individuals.
Entities that handle large amounts of sensitive data are typically required to file an enhanced data anonymization.
To fill out an enhanced data anonymization, one must carefully review the data being collected, identify any personally identifiable information, and take steps to anonymize this data.
The purpose of an enhanced data anonymization is to protect the privacy of individuals whose data is being collected and analyzed.
An enhanced data anonymization typically requires reporting on the types of data collected, the methods used to anonymize the data, and any potential risks of re-identification.
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