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Data minimization and deidentificationHow to protect the identity of your research data subjectsIdeaPlanBeforeCollectAnalyzeDuring1Before your research2During your research3Finishing your research4After
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01
Identify all the types of data that are being collected and stored within your organization.
02
Evaluate if all the collected data is necessary for the intended purpose.
03
Determine the legal requirements and regulations related to data minimization.
04
Implement systems and processes to regularly review and delete unnecessary or outdated data.
05
Train employees on the importance of data minimization and ensure compliance with established guidelines.

Who needs what is data minimization?

01
Businesses and organizations that handle sensitive or personal data of individuals.
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Companies that want to reduce the risk of data breaches and ensure data privacy and security.
03
Regulatory bodies and authorities that enforce data protection laws.
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Data minimization is a principle that advocates for the collection and processing of only the data that is necessary for a specific purpose, thereby reducing the risks associated with data privacy.
Organizations that collect personal data and are subject to data protection regulations typically need to file for data minimization. This includes companies, nonprofits, and public entities handling personal information.
To fill out data minimization, organizations should conduct a thorough data audit to identify the data collected, assess its necessity, and implement strategies to limit data collection to only what is essential for their operations.
The purpose of data minimization is to protect individuals' privacy by limiting their exposure to unnecessary data collection, thus reducing the potential for data breaches and misuse of information.
Organizations must report details about the types of data collected, the purposes for which it is used, and measures taken to minimize unnecessary data collection.
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