Article
Anonymizing & Protecting
rcd.ucsb.edu
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Indirect identifiers, such as zip code, birthdate, education, and race/ethnicity, which, when combined, may uniquely identify an individual. “It is noteworthy that other Information within the dataset when matched with external data sources like social media, administrative records, or public datasets, could result in the identification of an individual. Therefore these need also to be addressed and protected from disclosure.” Anonymization - Qualitative Data
In Compliance
Data Anonymization “Implementing de-identification strategies and adopting access control measures are vital for preventing these risks, as they safeguard against the linkage of sensitive attributes with specific participants and locations.” Human Subjects' Data
Before initiating any research involving human participants, consult the Office of Research's Human Subject Department for Institutional Review Board (IRB) protocols and required training. “Sensitive data encompasses any information that, if disclosed, could lead to harm, legal issues, or damage to a subject's reputation, whether or not it is legally protected.” Criminal or illegal activities, such as drug use.
Data Anonymization “The disclosure of identifiable, sensitive, or legally protected data can harm participants.” Human Subjects' Data