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Quick Guide to Data De-Identification
De-identification of a transcript involves removing or altering information that could reveal the identity of the individuals involved, such as names, locations, and specific dates. This process is crucial for protecting privacy and maintaining confidentiality, especially in sensitive or research contexts. It ensures that the content can be used for analysis, sharing, or publication without risking personal privacy or compliance with data protection regulations.
Example
Interviewer: When was the first time you heard about the [Organization]?
Interviewee: Ten years ago. I was a student at [University] and one of my professors told us about [Organization] and their work.
To view a complete example click on the link below.
In the process of de-identifying transcripts or any data set, several types of information can be modified or removed to protect individual privacy. Here are key elements that can be de-identified:
1. Name
2. Social Security numbers
3. Telephone numbers
4. Addresses and all geographic information smaller than a state
5. All elements of dates (except year), including date of: birth, admission, discharge, and death; and all ages over 89
6. Fax numbers
7. E-mail addresses
8. Medical record numbers
9. Health Plan Beneficiary numbers
10. Account numbers
11. Certificate/license numbers
12. Vehicle identifiers and serial numbers, including license plate numbers
13. Device identifiers and serial numbers
14. Web Universal Resource Locators (URLs)
15. Internet Protocol (IP) addresses
16. Biometric identifiers, including finger and voice prints
17. Full face photographic images and comparable images
super-embed:
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<a href="https://docs.landmarktranscription.com.au/using-atlasti-for-qualitative-data-analysis" class="button-previous"> ← Previous </a>
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