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Looking at crime-communities and physical spaces: A curated dataset
This article describes a curated dataset entitled “Looking at Crime: Communities and Physical Spaces”, which comprises data from different sources, namely Diagnosis of Local Security (DLS), Diagnosis of School Environment (DSE) and observation of physical spaces. The main topic covered was crime and...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605376/ https://www.ncbi.nlm.nih.gov/pubmed/34841016 http://dx.doi.org/10.1016/j.dib.2021.107560 |
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author | Azevedo, Vanessa Maia, Rui Leandro Guerreiro, Maria João Oliveira, Gisela Sani, Ana Caridade, Sónia Dinis, Maria Alzira Pimenta Estrada, Rui Paulo, Daniela Magalhães, Mariana Nunes, Laura M. |
author_facet | Azevedo, Vanessa Maia, Rui Leandro Guerreiro, Maria João Oliveira, Gisela Sani, Ana Caridade, Sónia Dinis, Maria Alzira Pimenta Estrada, Rui Paulo, Daniela Magalhães, Mariana Nunes, Laura M. |
author_sort | Azevedo, Vanessa |
collection | PubMed |
description | This article describes a curated dataset entitled “Looking at Crime: Communities and Physical Spaces”, which comprises data from different sources, namely Diagnosis of Local Security (DLS), Diagnosis of School Environment (DSE) and observation of physical spaces. The main topic covered was crime and related variables at the Historic Centre of Porto (HCP), a well-known urban area located in the North of Portugal. It is currently attended by inhabitants, workers, students and tourists. This dataset includes i) data from two different self-reports: i.1) demographics, perception of (in)security, victimization, social control and community cohesion obtained through an inquiry applied to the adult community; and i.2) data from school climate and students behavioural problems, which may be seen as risk factors for juvenile delinquency, collected through a web-survey applied to school personnel; and ii) data from observation of physical spaces, attending to the Crime Prevention through Environmental Design (CPTED) principles. The dataset allows descriptive and inferential statistical analyses, being useful for students, academics, stakeholders, police forces and policy-makers, to better understand crime and its related variables, forecast criminal incidents, and further develop associated preventive and intervention programmes. |
format | Online Article Text |
id | pubmed-8605376 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-86053762021-11-26 Looking at crime-communities and physical spaces: A curated dataset Azevedo, Vanessa Maia, Rui Leandro Guerreiro, Maria João Oliveira, Gisela Sani, Ana Caridade, Sónia Dinis, Maria Alzira Pimenta Estrada, Rui Paulo, Daniela Magalhães, Mariana Nunes, Laura M. Data Brief Data Article This article describes a curated dataset entitled “Looking at Crime: Communities and Physical Spaces”, which comprises data from different sources, namely Diagnosis of Local Security (DLS), Diagnosis of School Environment (DSE) and observation of physical spaces. The main topic covered was crime and related variables at the Historic Centre of Porto (HCP), a well-known urban area located in the North of Portugal. It is currently attended by inhabitants, workers, students and tourists. This dataset includes i) data from two different self-reports: i.1) demographics, perception of (in)security, victimization, social control and community cohesion obtained through an inquiry applied to the adult community; and i.2) data from school climate and students behavioural problems, which may be seen as risk factors for juvenile delinquency, collected through a web-survey applied to school personnel; and ii) data from observation of physical spaces, attending to the Crime Prevention through Environmental Design (CPTED) principles. The dataset allows descriptive and inferential statistical analyses, being useful for students, academics, stakeholders, police forces and policy-makers, to better understand crime and its related variables, forecast criminal incidents, and further develop associated preventive and intervention programmes. Elsevier 2021-11-10 /pmc/articles/PMC8605376/ /pubmed/34841016 http://dx.doi.org/10.1016/j.dib.2021.107560 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Data Article Azevedo, Vanessa Maia, Rui Leandro Guerreiro, Maria João Oliveira, Gisela Sani, Ana Caridade, Sónia Dinis, Maria Alzira Pimenta Estrada, Rui Paulo, Daniela Magalhães, Mariana Nunes, Laura M. Looking at crime-communities and physical spaces: A curated dataset |
title | Looking at crime-communities and physical spaces: A curated dataset |
title_full | Looking at crime-communities and physical spaces: A curated dataset |
title_fullStr | Looking at crime-communities and physical spaces: A curated dataset |
title_full_unstemmed | Looking at crime-communities and physical spaces: A curated dataset |
title_short | Looking at crime-communities and physical spaces: A curated dataset |
title_sort | looking at crime-communities and physical spaces: a curated dataset |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605376/ https://www.ncbi.nlm.nih.gov/pubmed/34841016 http://dx.doi.org/10.1016/j.dib.2021.107560 |
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