Principles of personal data processing in the context of crime prevention and combating: the case of the Municipal Police

Research objective: This article discusses the legally compliant processing of personal data by Municipal Police officers. Methodology: The processing of personal data by the Municipal Police is based on three legal acts: Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 (General Data Protection Regulation – GDPR), the Polish Act of 10 May 2018 on the Protection of Personal Data, and the Act of 14 December 2018 on the Protection of Personal Data Processed in Connection with the Prevention and Combating of Crime. Main conclusions: The study focuses on how personal data must be processed during the performance of official duties by Municipal Police officers. Particular attention is given to the Act of 14 December 2018, which specifies how data should be handled within this formation, considering the specific nature of their actions. Application of the study: Based on an analysis of documents concerning personal data processing, the article outlines appropriate methods for data handling by Municipal Police officers. Originality/Novelty of the study: This is an original analysis of proper personal data processing methods by Municipal Police staff while performing duties related to crime prevention and combating. The study provides guidance on how to carry out professional activities while also respecting the aspect of personal data protection for the individuals involved.

Authors

Institutions

Publication Details

Journal
Humanities & Social Sciences Reviews
Published
2025-09-27
DOI
https://doi.org/10.18510/hssr.2025.13230
Primary Topic
European Criminal Justice and Data Protection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Principles of personal data processing in the context of crime prevention and combating: the case of the Municipal Police

Rafał Kołodziejczyk
Humanities & Social Sciences Reviews
European Criminal Justice and Data Protection
article

Principles of personal data processing in the context of crime prevention and combating: the case of the Municipal Police

Rafał Kołodziejczyk
article en

Abstract

Research objective: This article discusses the legally compliant processing of personal data by Municipal Police officers. Methodology: The processing of personal data by the Municipal Police is based on three legal acts: Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 (General Data Protection Regulation – GDPR), the Polish Act of 10 May 2018 on the Protection of Personal Data, and the Act of 14 December 2018 on the Protection of Personal Data Processed in Connection with the Prevention and Combating of Crime. Main conclusions: The study focuses on how personal data must be processed during the performance of official duties by Municipal Police officers. Particular attention is given to the Act of 14 December 2018, which specifies how data should be handled within this formation, considering the specific nature of their actions. Application of the study: Based on an analysis of documents concerning personal data processing, the article outlines appropriate methods for data handling by Municipal Police officers. Originality/Novelty of the study: This is an original analysis of proper personal data processing methods by Municipal Police staff while performing duties related to crime prevention and combating. The study provides guidance on how to carry out professional activities while also respecting the aspect of personal data protection for the individuals involved.

Humanities & Social Sciences ReviewsVol. 13(2)
Jan Kochanowski University (PL)
Openalex Percentile: Top 69%
European Criminal Justice and Data Protection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.