Data · dataset · 2024
Burglary in factories / plants / offices 1995
Listed in DANS Data Station Social Sciences and Humanities and ODISSEI Portal — shown once because both records carry DOI 10.17026/dans-zg5-yjzg
Detailed data on causes of commercial burglary.
Description
Sources of information are: 1. records of notification [P1256C]/ 2. interviews with burglars involved [P1256A]/ 3. Questionnaire filled up by victimized companies [P1256B]/ 4.
Police registrations of the interviewed burglars [P1256A] P1256A: origin of r.'s plans for burglary/ who takes initiatives, role of tipsters and receivers / preferred type of victim: location, size, branch of economy etc., favourite security system, favourite booty / preferred method of working: with or without comparisons, use of tools, means of transport, enter the building, method inside the building, sabotage alarm, damage caused, vandalism, removal of traces / average size of booty, spending of booty / r's reaction when bothered, occurrence of failures / use of alcohol, drugs during burglary, possession of weapon / judgement of various security devices, methods / r.'s social background, daily activities, problems on youth, problems with alcohol, drugs, gambling, finances, contacts with assistance / r.'s criminal history P1256B: description of victimized companies: branch of economy, size of location, nr. of visitors, nr. of vehicles, scale and increase of crime, confrontations with crime last 5 years / security measures taken: budget, instructions to employees, external security company: methods of working, tasks, alarms, access-system, registration of keys, low cover, construction of the building, tv camera's, lighting, frequency of alarms, false alarm / insurance, risk class P1256C: records of notification: descriptions of criminal offences, area, police district, victim, method used, single or accompanied, points of time, how and by whom was offence noticed, stolen properties, havoc, type of building, way burglars entered the building etc.
Read the rest (1 more)
Background variables: basic characteristics/ place of birth/ household characteristics/ occupation/employment/ income/capital assets/ education
Links
Where it is published
- Dataverse dataset page ssh.datastations.nl/dataset.xhtml?persistentId=doi%3A10.17026%2FDANS-ZG5-YJZG ↗
landing page · from ssh datastations nl
- Dataverse dataset page portal.odissei.nl/dataset.xhtml?persistentId=doi%3A10.17026%2FDANS-ZG5-YJZG ↗
landing page · from portal odissei nl
- DOI doi.org/10.17026/dans-zg5-yjzg ↗
DOI / persistent id · from ssh datastations nl
Catalogue records · 2
- Dataverse API ssh.datastations.nl/api/datasets/:persistentId/?persistentId=doi%3A10.17026%2FDANS… ↗
metadata API · from ssh datastations nl
- Dataverse API portal.odissei.nl/api/datasets/:persistentId/?persistentId=doi%3A10.17026%2FDANS… ↗
metadata API · from portal odissei nl
Topics
- Stated by source
- Business and Management · Business and Management · Law · Law · Social Sciences · Social Sciences
- From keywords
- Criminology · Criminology · Economics & Finance · Economics & Finance · Humanities · Social Science · Social Science
Provenance · 2 source records, 19 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DANS Data Station Social Sciences and Humanities | doi:10.17026/DANS-ZG5-YJZG | 12 d ago | JSON v1 |
| ODISSEI Portal | doi:10.17026/DANS-ZG5-YJZG | 8 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4402 | mapping · ssh datastations nl | vocabulary-mapper@1.0.0 | keywords['criminology'] |
| concepts[field].anzsrc:group:4402 | mapping · portal odissei nl | vocabulary-mapper@1.0.0 | keywords['criminology'] |
| concepts[field].dataverse_subject:business-and-management | source · portal odissei nl | connector:portal_odissei_nl@1.0.0 | /subjects |
| concepts[field].dataverse_subject:business-and-management | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | /subjects |
| concepts[field].dataverse_subject:law | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | /subjects |
| concepts[field].dataverse_subject:law | source · portal odissei nl | connector:portal_odissei_nl@1.0.0 | /subjects |
| concepts[field].dataverse_subject:social-sciences | source · portal odissei nl | connector:portal_odissei_nl@1.0.0 | /subjects |
| concepts[field].dataverse_subject:social-sciences | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | /subjects |
| concepts[field].local:field:economics-finance | mapping · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | /subjects |
| concepts[field].local:field:economics-finance | mapping · portal odissei nl | connector:portal_odissei_nl@1.0.0 | /subjects |
| concepts[field].local:field:humanities | mapping · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · portal odissei nl | connector:portal_odissei_nl@1.0.0 | /subjects |
| created_date | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | |
| description | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | /description |
| publication_date | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | |
| title | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | /name |
| updated_date | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | |
| version_label | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 |