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Dataset supporting the University of Southampton Doctoral Thesis "An empirical and theoretical analysis of the investigation and punishment processes of corporate offending in the UK, 2008-2016".

Dataset supporting the University of Southampton Doctoral Thesis "An empirical and theoretical analysis of the investigation and punishment processes of corporate offending in the UK, 2008-2016".
Dataset supporting the University of Southampton Doctoral Thesis "An empirical and theoretical analysis of the investigation and punishment processes of corporate offending in the UK, 2008-2016".
This dataset is supporting the University of Southampton Doctoral Thesis "An empirical and theoretical analysis of the investigation and punishment processes of corporate offending in the UK, 2008-2016". The data contains some information related to the result of the investigation and punishment process of workplace deaths in the UK. The dataset is composed of 8 years period, 2008-2016. The dataset has been generated from published and unpublished sources such as HSE's record, and massive and local media sources related to work-related data. The type of file is Excel.
University of Southampton
Ozdemir, Cem
b2e29e67-c1ce-4183-af24-2f805a60bcde
Ozdemir, Cem
b2e29e67-c1ce-4183-af24-2f805a60bcde

Ozdemir, Cem (2023) Dataset supporting the University of Southampton Doctoral Thesis "An empirical and theoretical analysis of the investigation and punishment processes of corporate offending in the UK, 2008-2016". University of Southampton doi:10.5258/SOTON/D2799 [Dataset]

Record type: Dataset

Abstract

This dataset is supporting the University of Southampton Doctoral Thesis "An empirical and theoretical analysis of the investigation and punishment processes of corporate offending in the UK, 2008-2016". The data contains some information related to the result of the investigation and punishment process of workplace deaths in the UK. The dataset is composed of 8 years period, 2008-2016. The dataset has been generated from published and unpublished sources such as HSE's record, and massive and local media sources related to work-related data. The type of file is Excel.

Spreadsheet
Cem Ozdemir dataset.xlsx - Dataset
Available under License Creative Commons Attribution.
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Text
D2799_thesis_readme.txt - Dataset
Available under License Creative Commons Attribution.
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More information

Published date: 2023

Identifiers

Local EPrints ID: 482420
URI: http://eprints.soton.ac.uk/id/eprint/482420
DOI: doi:10.5258/SOTON/D2799
PURE UUID: 1edd8463-14be-41e7-8530-30e8269d906f
ORCID for Cem Ozdemir: ORCID iD orcid.org/0000-0003-0515-0529

Catalogue record

Date deposited: 03 Oct 2023 16:33
Last modified: 04 Oct 2023 01:54

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Contributors

Creator: Cem Ozdemir ORCID iD

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