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Business Process Risk Management and Simulation Modelling for Digital Audio-Visual Media Preservation.

Engen, V., Veres, G., Crowle, S. and Walland, P., 2016. Business Process Risk Management and Simulation Modelling for Digital Audio-Visual Media Preservation. International Journal On Advances in Internet Technology, 9 (1&2), 12-30.

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Abstract

Digitised and born-digital Audio-Visual (AV) content presents new challenges for preservation and Quality Assurance (QA) to ensure that cultural heritage is accessible for the long term. Digital archives have developed strategies for avoiding, mitigating and recovering from digital AV loss using IT-based systems, involving QA tools before ingesting files into the archive and utilising file-based replication to repair files that may be damaged while in the archive. However, while existing strategies are effective for addressing issues related to media degradation, issues such as format obsolescence and failures in processes and people pose significant risk to the long-term value of digital AV content. We present a Business Process Risk management framework (BPRisk) designed to support preservation experts in managing risks to long-term digital media preservation. This framework combines workflow and risk specification within a single risk management process designed to support continual improvement of workflows. A semantic model has been developed that allows the framework to incorporate expert knowledge from both preservation and security experts in order to intelligently aid workflow designers in creating and optimising workflows. The framework also provides workflow simulation functionality, allowing users to a) understand the key vulnerabilities in the workflows, b) target investments to address those vulnerabilities, and c) minimise the economic consequences of risks. The application of the BPRisk framework is demonstrated on a use case with the Austrian Broadcasting Corporation (ORF), discussing simulation results and an evaluation against the outcomes of executing the planned workflow.

Item Type:Article
ISSN:1942-2652
Uncontrolled Keywords:risk management; business processes; workflows; semantic modelling; simulation modelling
Group:Faculty of Science & Technology
ID Code:33672
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:09 Mar 2020 15:42
Last Modified:09 Mar 2020 15:42

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