READ ME File For 'Stakeholder Interviews Data for PhD Thesis - A Multi-Level Governance Framework for Increasing Awareness and Reducing Cyber Misuse in Next Generation Cross Border Voice Communication Networks & IoT'

Dataset DOI: 10.5258/SOTON/D2152

This readme file was created in March, 2022

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GENERAL INFORMATION
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ReadMe Author: Nathaniel McInnes, University of Southampton

Dataset Questions Contact: n.mcinnes@soton.ac.uk

Date of data collection: 2019-2020

Data was collected through interviews with participants in the United Kingdom and various European Union countries.

Related projects:
PhD Thesis - A Multi-Level Governance Framework for Increasing Awareness and Reducing Cyber Misuse in Next Generation Cross Border Voice Communication Networks & IoT (DOI: 10.5258/SOTON/T0036)

Ethics ID: ERGO/FEPS/46884


This dataset makes up a part of the overall research seen in the Thesis (DOI: 10.5258/SOTON/T0036). Therefore specific acknowledgments for those involved with the contribution to this dataset are:
Main Study Author (as part of PhD): Nathaniel McInnes
Primary Supervisor: Dr Gary Wills (Cyber Physical Systems)
Secondary Supervisor: Professor Sophie Stalla-Bourdillon (School of Law)
Acknowledgement would also like to be given to Dr I. Lusmen who was involved historically in the supervision of this research.

Please see Thesis (DOI: 10.5258/SOTON/T0036) for more information on further acknowledgements of who else was involved in the overall combined research. 

This work was supported by the EPSRC Centre of Doctoral Training (CDT) in Web Science Innovation at the University of Southampton (EP/L016117/1), part of the EPSRC Digital Economy programme.

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SHARING/ACCESS INFORMATION
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Attribution 4.0 International (CC BY 4.0)

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DATA & FILE OVERVIEW
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The STAKEHOLDER_INTERVIEWS_OPEN.zip folder contains the following files:

Participant Awareness.csv
Participant Number and Category.csv
Stakeholder Quotes in Finding Category Order.docx


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METHODOLOGICAL INFORMATION
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For information on the methodology used and how the stakeholder interviews were conducted, please see Chapter 5.5 and Chapter 7.1 in the Thesis (DOI: 10.5258/SOTON/T0036).