Anonimizacija zapisa u digitalnim arhivima

master's thesis

• Title (english): Records anonymization in digital archives
• Author: Andreja Lužar
• Mentor: Hrvoje Stančić (mentor)
• Committee member: Arian Rajh (predsjednik povjerenstva)
• Committee member: Hrvoje Stančić (član povjerenstva)
• Committee member: Željko Trbušić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Humanities and Social Sciences; (Department of information and Communication sciences); Zagreb
• Defense date and country: 2023-09-29, Croatia
• Scientific / art field, discipline and subdiscipline: SOCIAL SCIENCES; Information and Communication Sciences; Archives and Documentation Studies

Abstract

Sigurnost osobnih podataka sve je veći izazov čovječanstva kako sve više sfera ljudskog života prelazi u digitalni svijet. Nehotično davanje privole na obradu osobnih podataka na gotovo svakoj internetskoj stranici postalo je svakodnevica. Načini na koje se ti podaci obrađuju podložni su Općoj uredbi o zaštiti podataka (GDPR) koja je donesena sa svrhom da se zaštiti privatnost i dostojanstvo pojedinca kao temeljno i ustavno pravo svake osobe. Arhivske ustanove kao mjesta na kojima se čuvaju dokumenti i dokazi prava i transakcija pune su zapisa koji sadrže osobne podatke. Koji od tih podataka spadaju pod zaštitu, a koji ne određeno je u arhivskom zakonu, a dostupnost arhivskog gradiva s i bez osjetljivih podataka određuju ustanove same za sebe sukladno zakonu i pravilnicima.
Rad se dotiče problematike obrade osobnih podataka i korištenja umjetne inteligencije dok s druge strane daje sliku načina na koji državni arhivi u Hrvatskoj anonimiziraju svoje zapise. U radu se usporedno analizira nekoliko alata za anonimizaciju. Napretkom tehnologije došlo je do razvoja mnogih računalnih sustava za anonimizaciju, a u posljednje vrijeme sve je veća važnost umjetne inteligencije u obradi osobnih podataka, odnosno pripremi podataka za daljnje analize.

Abstract (english)

The security of personal data is a growing challenge for humanity as more and more spheres of human life move into the digital world. Involuntarily giving consent to the processing of personal data on almost every internet site has become an everyday practice. The ways in which these data are processed are subject to the General Data Protection Regulation (GDPR), which was adopted with the purpose of protecting the privacy and dignity of an individual as a fundamental and constitutional right of every person. Archival institutions, as places where documents and evidence of rights and transactions are kept, are full of records containing personal data. Which of these data fall under protection and which do not is determined by the archives law, and the availability of archival materials with and without sensitive data is determined by the institutions themselves in accordance with the law and regulations.
The thesis touches on the issues of personal data processing and usage of artificial intelligence, while on the other hand it provides insight into the records anonymization practices in the state archives in Croatia. The comparative analysis of several anonymization tools is given. Advances in technology have led to the development of many computer systems for anonymization, and lately the importance of artificial intelligence in processing personal data, i.e., preparing data for further analysis, is increasing.

• Keywords: anonimizacija; zaštita podataka; osobni podaci; GDPR; umjetna inteligencija
• Keywords (english): anonymization; data protection; personal data; GDPR; artificial intelligence
• Language: croatian
• URN:NBN: urn:nbn:hr:131:828413
• Study programme: Title: Information Sciences; specializations in: Archivistics Study, Library Science, Information Sciences (research), Information Sciences (teaching), Museology and heritage management, Informatology; Course: Archivistics Study; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra informacijskih znanosti (magistar/magistra informacijskih znanosti)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2023-09-30 16:36:41