Integration of data sets for modelling gender violence and perception of insecurityZenodo
The dataset offers a comprehensive information to analyse cities and neighbourhood that are potentially unsafe for women, this information has been collected for four cities: Toluca (Mexico), Valencia (Spain), Dublin (Ireland) and San Francisco (USA). The collection includes quantitative and qualita...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340924012137 |
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| author | Sandra Lucía Hernández Zetina Ana Belén Anquela Julián Ángel Esteban Martín Furones Carlos Martinez Montes Santos Fernández Noguerol |
| author_facet | Sandra Lucía Hernández Zetina Ana Belén Anquela Julián Ángel Esteban Martín Furones Carlos Martinez Montes Santos Fernández Noguerol |
| author_sort | Sandra Lucía Hernández Zetina |
| collection | DOAJ |
| description | The dataset offers a comprehensive information to analyse cities and neighbourhood that are potentially unsafe for women, this information has been collected for four cities: Toluca (Mexico), Valencia (Spain), Dublin (Ireland) and San Francisco (USA). The collection includes quantitative and qualitative variables obtained and processed from open data, georeferenced publications from a social media platform, and points located through participatory mapping sessions.The data is structured in raw format, organized by country and city, and categorized according to the data source used while processing, which allows unrestricted access with most data analysis software and it does not depend on specific licenses. This format includes both geometric information and associated attributes allowing reusability and analysis in different environments.Additionally, the release of this data allows developing models tailored to specific local contexts and represents a significant advance in open data access as stated in the Sustainable Development Goal 5 (SDG 5), especially in relation to indicator 5.2.2. In general, this indicator faces a lack of sufficient data for accurate measurement, which limits the ability to accurately assess and address gender-based violence. By providing an open and flexible resource, the dataset not only facilitates comparative research and informed policymaking, it also supports the international commitment for transparency and contributes to filling existing gaps in information on violence and insecurity. |
| format | Article |
| id | doaj-art-7fafd4cc14af416785b5dc81280cafcb |
| institution | Kabale University |
| issn | 2352-3409 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj-art-7fafd4cc14af416785b5dc81280cafcb2025-01-31T05:11:41ZengElsevierData in Brief2352-34092025-02-0158111251Integration of data sets for modelling gender violence and perception of insecurityZenodoSandra Lucía Hernández Zetina0Ana Belén Anquela Julián1Ángel Esteban Martín Furones2Carlos Martinez Montes3Santos Fernández Noguerol4Autonomous University of Mexico State, Cerro de Coatepec, s/n, Ciudad Universitaria, 50110, Toluca, Mexico; Polytechnic University of Valencia, Camí de Vera, s/n, Algirós, 46022 València, Valencia, Spain; Corresponding author.Polytechnic University of Valencia, Camí de Vera, s/n, Algirós, 46022 València, Valencia, SpainPolytechnic University of Valencia, Camí de Vera, s/n, Algirós, 46022 València, Valencia, SpainPolytechnic University of Valencia, Camí de Vera, s/n, Algirós, 46022 València, Valencia, SpainTechnological University Dublin, Faculty of Engineering and Built Environment, School of Surveying and Construction Innovation, Room 334.1, Bolton Street, D01 K822, Dublin, IrelandThe dataset offers a comprehensive information to analyse cities and neighbourhood that are potentially unsafe for women, this information has been collected for four cities: Toluca (Mexico), Valencia (Spain), Dublin (Ireland) and San Francisco (USA). The collection includes quantitative and qualitative variables obtained and processed from open data, georeferenced publications from a social media platform, and points located through participatory mapping sessions.The data is structured in raw format, organized by country and city, and categorized according to the data source used while processing, which allows unrestricted access with most data analysis software and it does not depend on specific licenses. This format includes both geometric information and associated attributes allowing reusability and analysis in different environments.Additionally, the release of this data allows developing models tailored to specific local contexts and represents a significant advance in open data access as stated in the Sustainable Development Goal 5 (SDG 5), especially in relation to indicator 5.2.2. In general, this indicator faces a lack of sufficient data for accurate measurement, which limits the ability to accurately assess and address gender-based violence. By providing an open and flexible resource, the dataset not only facilitates comparative research and informed policymaking, it also supports the international commitment for transparency and contributes to filling existing gaps in information on violence and insecurity.http://www.sciencedirect.com/science/article/pii/S2352340924012137SDG 5Open dataData miningParticipatory mapping |
| spellingShingle | Sandra Lucía Hernández Zetina Ana Belén Anquela Julián Ángel Esteban Martín Furones Carlos Martinez Montes Santos Fernández Noguerol Integration of data sets for modelling gender violence and perception of insecurityZenodo Data in Brief SDG 5 Open data Data mining Participatory mapping |
| title | Integration of data sets for modelling gender violence and perception of insecurityZenodo |
| title_full | Integration of data sets for modelling gender violence and perception of insecurityZenodo |
| title_fullStr | Integration of data sets for modelling gender violence and perception of insecurityZenodo |
| title_full_unstemmed | Integration of data sets for modelling gender violence and perception of insecurityZenodo |
| title_short | Integration of data sets for modelling gender violence and perception of insecurityZenodo |
| title_sort | integration of data sets for modelling gender violence and perception of insecurityzenodo |
| topic | SDG 5 Open data Data mining Participatory mapping |
| url | http://www.sciencedirect.com/science/article/pii/S2352340924012137 |
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