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  4. Guidance on anonymization and pseudonymization of qualitative text-based research data : translated and adapted version of the Qualiservice Working Paper QS-WP-5-2023, status: 2023
 
Zitierlink DOI
10.26092/elib/4029

Guidance on anonymization and pseudonymization of qualitative text-based research data : translated and adapted version of the Qualiservice Working Paper QS-WP-5-2023, status: 2023

Veröffentlichungsdatum
2026
Autoren
Mozygemba, Kati  
Hollstein, Betina  
Zusammenfassung
With this guideline, we demonstrate ways in which qualitative text-based research materials can be anonymized or pseudonymized, ensuring that the personal rights of participants are protected while also enabling scientific reuse. We take ethical and data protection aspects into account and present practical instructions and application examples for anonymizing or pseudonymizing qualitative text-based research materials. We illustrate approaches to replacing personal information and advocate for a sensitive approach that aims to preserve the reuse value of a dataset as much as possible, while avoiding both under- and over-anonymization. To support efficient implementation, Qualiservice has developed the anonymization tool QualiAnon for text-based research data in collaboration with researchers. The tool is freely available for use and is also introduced in this guideline.
Schlagwörter
Anonymization

; 

qualitative data

; 

pseudonymization

; 

sensitive data

; 

research data management

; 

data sharing

; 

qualitative research

; 

re-using qualitative data

; 

QualiAnon
Institution
Universität Bremen  
Fachbereich
Zentrale Wissenschaftliche Einrichtungen und Kooperationen  
Institute
Forschungsdatenzentrum Qualiservice  
Dokumenttyp
Buch
Serie(s)
Qualiservice Working Papers  
Band
QS-WP-9-2026
Zweitveröffentlichung
Nein
Lizenz
https://creativecommons.org/licenses/by/4.0/
Sprache
Englisch
Dateien
Lade...
Vorschaubild
Name

Guidance on the anonymization and pseudonymization of qualitative text-based research data_published (1).pdf

Size

1.67 MB

Format

Adobe PDF

Checksum

(MD5):df9754baacfb3288768b21e538cdebd3

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