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Importing Documents in Nvivo10 in 3 minutesUsing AtlasTI for qualitative data analysisQuick Guide to Data De-IdentificationWhat is de-identification?
De-identification stands as a cornerstone in the ethical handling of research data, particularly when dealing with the sensitive content often found in transcripts. The significance of de-identification transcends its role as a methodical procedure; it embodies a commitment to participant privacy and adheres to ethical standards and legal requirements. By meticulously removing personal identifiers from transcripts, researchers uphold the anonymity of their subjects, ensuring that personal details cannot be traced back to the individual, thus maintaining the trust inherent in the participant-researcher relationship.
When it comes to transcripts, de-identification is a meticulous process that involves:
- Removing names and initials.
- Redacting or altering geographic identifiers larger than a state, such as city or street names.
- Obscuring any dates directly related to an individual, including birth dates, admission and discharge dates, and other significant events.
- Changing or omitting ages.
- Stripping out telephone numbers, email addresses, social security numbers, medical record numbers, and other unique identifying numbers.
- Replacing or removing any unique characteristics or combinations of information that could lead to identification.
By systematically applying these de-identification strategies to transcripts, researchers can confidently contribute to the collective body of knowledge, knowing that they are protecting the privacy of their participants and upholding the highest standards of research ethics.