DRAT: Data risk assessment tool for university–industry collaborations

For research in the fields of engineering asset management (EAM) and system health, relevant data resides in the information systems of the asset owners, typically industrial corporations or government bodies. For academics to access EAM data sets for research purposes can be a difficult and time-co...

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Main Authors: Joanna Sikorska, Sam Bradley, Melinda Hodkiewicz, Ryan Fraser
Format: Article
Language:English
Published: Cambridge University Press 2020-01-01
Series:Data-Centric Engineering
Subjects:
Online Access:https://www.cambridge.org/core/product/identifier/S2632673620000131/type/journal_article
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author Joanna Sikorska
Sam Bradley
Melinda Hodkiewicz
Ryan Fraser
author_facet Joanna Sikorska
Sam Bradley
Melinda Hodkiewicz
Ryan Fraser
author_sort Joanna Sikorska
collection DOAJ
description For research in the fields of engineering asset management (EAM) and system health, relevant data resides in the information systems of the asset owners, typically industrial corporations or government bodies. For academics to access EAM data sets for research purposes can be a difficult and time-consuming task. To facilitate a more consistent approach toward releasing asset-related data, we have developed a data risk assessment tool (DRAT). This tool evaluates and suggests controls to manage, risks associated with the release of EAM datasets to academic entities for research purposes. Factors considered in developing the tool include issues such as where accountability for approval sits in organizations, what affects an individual manager’s willingness to approve release, and how trust between universities and industry can be established and damaged. This paper describes the design of the DRAT tool and demonstrates its use on case studies provided by EAM owners for past research projects. The DRAT tool is currently being used to manage the data release process in a government-industry-university research partnership.
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spelling doaj.art-44b9fc7e556e4eefaab5eb38496e2eb42023-03-09T12:31:42ZengCambridge University PressData-Centric Engineering2632-67362020-01-01110.1017/dce.2020.13DRAT: Data risk assessment tool for university–industry collaborationsJoanna Sikorska0https://orcid.org/0000-0003-2969-8863Sam Bradley1https://orcid.org/0000-0002-5017-299XMelinda Hodkiewicz2https://orcid.org/0000-0002-7336-3932Ryan Fraser3School of Mechanical Engineering, The University of Western Australia, Crawley, Western Australia, AustraliaCSIRO, Kensington, Western Australia, AustraliaSchool of Mechanical Engineering, The University of Western Australia, Crawley, Western Australia, AustraliaCSIRO, Kensington, Western Australia, AustraliaFor research in the fields of engineering asset management (EAM) and system health, relevant data resides in the information systems of the asset owners, typically industrial corporations or government bodies. For academics to access EAM data sets for research purposes can be a difficult and time-consuming task. To facilitate a more consistent approach toward releasing asset-related data, we have developed a data risk assessment tool (DRAT). This tool evaluates and suggests controls to manage, risks associated with the release of EAM datasets to academic entities for research purposes. Factors considered in developing the tool include issues such as where accountability for approval sits in organizations, what affects an individual manager’s willingness to approve release, and how trust between universities and industry can be established and damaged. This paper describes the design of the DRAT tool and demonstrates its use on case studies provided by EAM owners for past research projects. The DRAT tool is currently being used to manage the data release process in a government-industry-university research partnership.https://www.cambridge.org/core/product/identifier/S2632673620000131/type/journal_articleData sharingengineering asset managementindustry–academia collaborationrisk assessmentrisk management
spellingShingle Joanna Sikorska
Sam Bradley
Melinda Hodkiewicz
Ryan Fraser
DRAT: Data risk assessment tool for university–industry collaborations
Data-Centric Engineering
Data sharing
engineering asset management
industry–academia collaboration
risk assessment
risk management
title DRAT: Data risk assessment tool for university–industry collaborations
title_full DRAT: Data risk assessment tool for university–industry collaborations
title_fullStr DRAT: Data risk assessment tool for university–industry collaborations
title_full_unstemmed DRAT: Data risk assessment tool for university–industry collaborations
title_short DRAT: Data risk assessment tool for university–industry collaborations
title_sort drat data risk assessment tool for university industry collaborations
topic Data sharing
engineering asset management
industry–academia collaboration
risk assessment
risk management
url https://www.cambridge.org/core/product/identifier/S2632673620000131/type/journal_article
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AT ryanfraser dratdatariskassessmenttoolforuniversityindustrycollaborations