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Anonymization of research data Verse Van den Ended UK Data Service University of Essex Creating Shareable Research Data: Managing and Archiving Social Science Research Data 28th and 29th November
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How to fill out anonymisation of research data

01
Identify the sensitive research data that needs to be anonymized.
02
Remove any direct identifiers, such as names, social security numbers, or addresses, from the data.
03
Replace or suppress indirect identifiers, such as date of birth or educational history, to minimize the risk of re-identification.
04
Consider using generalization techniques to further de-identify the data, such as aggregating data or rounding values.
05
Conduct a risk assessment to evaluate the likelihood of re-identification and implement additional anonymization measures if necessary.
06
Document the anonymization process and keep a record of the steps taken to ensure transparency and reproducibility.
07
Validate the effectiveness of the anonymization by testing the data against known re-identification methods.
08
Monitor and update the anonymization process regularly to adapt to evolving privacy risks and regulations.

Who needs anonymisation of research data?

01
Researchers who handle sensitive data.
02
Institutions conducting clinical trials or studies involving human subjects.
03
Government agencies collecting data for statistical analysis.
04
Companies conducting market research or data analysis.
05
Data protection officers and privacy professionals responsible for ensuring compliance with privacy regulations.
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Anonymisation of research data is the process of removing or modifying identifying information from research data to protect the privacy of individuals.
Researchers and organizations conducting research studies are required to file anonymisation of research data.
Anonymisation of research data can be filled out by following guidelines and protocols set by the governing body overseeing the research.
The purpose of anonymisation of research data is to ensure the privacy and confidentiality of individuals participating in research studies.
Anonymisation of research data typically requires reporting details on data collection, processing, and storage methods.
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