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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Cambridge University Press
2020-01-01
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Series: | Data-Centric Engineering |
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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. |
first_indexed | 2024-04-10T04:51:21Z |
format | Article |
id | doaj.art-44b9fc7e556e4eefaab5eb38496e2eb4 |
institution | Directory Open Access Journal |
issn | 2632-6736 |
language | English |
last_indexed | 2024-04-10T04:51:21Z |
publishDate | 2020-01-01 |
publisher | Cambridge University Press |
record_format | Article |
series | Data-Centric Engineering |
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 |
work_keys_str_mv | AT joannasikorska dratdatariskassessmenttoolforuniversityindustrycollaborations AT sambradley dratdatariskassessmenttoolforuniversityindustrycollaborations AT melindahodkiewicz dratdatariskassessmenttoolforuniversityindustrycollaborations AT ryanfraser dratdatariskassessmenttoolforuniversityindustrycollaborations |