What if the dataset contains personal data: anonymization of the research data

Conference presentation

• Author: Kristina Posavec; MBZ: 382223
• Author's institution: University of Zagreb; (SRCE, University Computing Centre)
• Scientific / art field, discipline and subdiscipline: SOCIAL SCIENCES; Information and Communication Sciences

Abstract (english)

This paper will present different types of anonymization, e.g. pseudonymization and k-anonymization, and the available educational materials that can help researchers in the process of data anonymization. In addition, the paper will present anonymization for different data types, e.g. qualitative and quantitative data, multimedia materials such as pictures and images, and the available online ICT tools for the anonymization of all these different types of data. SRCE –University of Zagreb, University Computing Centre in collaboration with the Croatian Science Foundation, and the National and University Library in Zagreb have created a new online course called Documentation and Anonymization of Research Data for the Croatian research community

• Keywords (english): research data management; anonymization; datasets
• Language: english
• Peer review: No peer review
• URN:NBN: urn:nbn:hr:102:164970
• Presentation date: 2022-10-03
• Conference: Title: Digital Art History – Methods, Practices, Epistemologies IV; Acronym: DAH IV; Location: Zagreb, Croatia; Organizer: Institute of Art History, Zagreb; SRCE – University of Zagreb, University Computing Centre; University of Ljubljana, Academy of Fine Arts and Design; DARIAH-HR; National and University Library in Zagreb.; Start date: 2022-10-03; End date: 2022-10-04; Assembly type: Lecture
• Document URL: https://www.ipu.hr/content/info/DAH-IV-2022_Book-of-Abstracts.pdf
• Type of resource: Text
• Access conditions: Open access
• Created on: 2022-10-11 10:46:05