DRAT: Data risk assessment tool for university–industry collaborations
DRAT: Data risk assessment tool for university–industry collaborations
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DRAT：大学与行业合作的数据风险评估工具
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
R. Fraser
中科院分区：
文献类型：
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作者：
J. Sikorska;S. Bradley;M. Hodkiewicz;R. Fraser
摘要 对于工程资产管理（EAM）和系统健康领域的研究，相关数据驻留在资产所有者（通常是工业公司或政府机构）的信息系统中。对于学者来说，出于研究目的访问 EAM 数据集可能是一项困难且耗时的任务。为了以更一致的方式发布资产相关数据，我们开发了数据风险评估工具（DRAT）。该工具评估并建议控制措施来管理与出于研究目的向学术实体发布 EAM 数据集相关的风险。开发该工具时考虑的因素包括诸如批准责任在组织中的位置、影响单个管理者批准发布意愿的因素以及如何建立和破坏大学和行业之间的信任等问题。本文描述了 DRAT 工具的设计，并演示了它在 EAM 所有者为过去的研究项目提供的案例研究中的使用。 DRAT 工具目前用于管理政府-行业-大学研究合作伙伴关系中的数据发布流程。
Abstract 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.