Open Access Risk Knowledge (OpenARK) Project

The Access Risk Knowledge (ARK) project is a project to deliver the novel ARK risk governance software platform to organisations vulnerable to operational failure. The ARK platform will deliver evidence-based risk management capabilities to operational, project and strategic levels within organisations. The project will develop the ARK risk governance platform, using a common analytic framework that provides the basis for the following:

  • Mixed method risk analysis, leveraging statistical methods, Artificial Intelligence (knowledge graphs, ontological inference, machine learning, natural language processing) and qualitative analysis to provide a comprehensive and reliable risk pattern, informing decisions of operations crew.
  • Combination of multiple cases to create a practical improvement agenda which is supported and tracked through its phases, verifying outcomes.
  • Analysis of risk interactions across business units and projects provides a strategic risk capability linking strategic threats to operational readiness.

This will make it possible to develop evidence-based best practice that supports performance-based regulation and will ultimately provide an operational basis for future system design. The ARK solution transforms risk management from quantifying loss to proactive governance, assuring reliable transactional value from operations, ensuring this is sustainable across the enterprise, potentially massively enhancing value through effective future system innovation.

ARK-Virus

The ARK-Virus Project extends the ARK Platform for use in the healthcare domain - specifically for the risk governance of personal protective equipment (PPE) use for infection prevention and control (IPC) during the COVID-19 pandemic. The project is a collaboration between the ARK academic team and a community of practice (CoP) which includes safety staff in St. James’s Hospital, Beacon Renal, and Dublin Fire Brigade.

Acknowledgements

This research was conducted with the financial support of SFI under Grant Agreement No. 20/COV/8463 at the ADAPT Centre in Dublin City University and Trinity College Dublin, and through the Enterprise Ireland Commercialisation Fund (CF 2018-1012) and co-funded by the European Regional Development Fund (ERDF) under Ireland’s European Structural and Investment Funds Programme 2014-2020 . The ADAPT SFI Centre for Digital Content Technology is funded by Science Foundation Ireland through the SFI Research Centres Programme and is co-funded under the European Regional Development Fund (ERDF) through Grant #13/RC/2106_P2.

People

University College Dublin (UCD)

Asst. Prof. Rob Brennan

Junli Liang

Malick Ebiele

Huan Chen

Sajjad Karimian

Haula Galadima

Trinity College Dublin (TCD)

Prof. Nick McDonald

Paula Hicks

ARK Partners

St. James's Hospital

Dublin Fire Brigade

Beacon Renal

Interns

Lucie Andrieu

Maÿlis Laporte

Alumni

Dr. Julio Hernandez

Dr. Lucy McKenna

Dr. Ademar Crotti Junior

Dr. Yalemisew Abgaz

Dr. Daniele Baranzini

Maryam Basereh

Rebecca Vining

Brian Doyle

Pallavi Prakash

Luke Derwin

Max Aedo-Espicto

Natalia Duda

Carlotta Acconito

ARK Ontologies

The ARK ontologies include several modules that are currently under development. The major modules include:

The ARK Cube Ontology: this module defines the concepts and relationships used in the CUBE analysis tool The ARK Platform Ontology: this module defines the concepts and relationships used to model users, data classifications & access controls on the Access Risk Knowledge (ARK) Platform The ARK Risk Terminology: this module defines the risk terms used on the ARK Platform and in the socio-technical risk management domain The ARK Health Terminology: this module defines the health terminologies, taken from the HSE Integrated Risk Management Policy, used in the ARK system. The ARK Platform Terminology: this module defines the terms used on the ARK Platform. The Hospital Adverse Incidents Categories and Subcategories Terminology: this module defines categories and subcategories of clinical adverse incidents, defined by our Partner Hospital in Ireland and used in Open ARK platform. ARK Controls Ontology: Control OWL classes, extracted from various standard documents, used in ARK. ARK Cybersecurity Terminology: Cybersecurity Termiology: Cybersecurity terms extracted from standard sources and expressed in SKOS. ARK Logging Ontology: Ontology used to generate and manage network/audit logs.

ARK Platform

The Access Risk Knowledge (ARK) Platform is a mindful risk-governance system that uses Semantic Web technologies to model, integrate and classify risk data, from both qualitative and quantitative sources, into a unified risk graph.

The ARK Platform app is available here.

Please contact the team to get access to the application (rob.brennan@ucd.ie).

ARK Evidence

ARK Evidence, built using CKAN, is a catalogue of evidence data that can be interlinked with risk management projects on the ARK Platform. ARK Evidence can be used to publish and share data, such as Personal Protective Equipment (PPE) compliance data, Infection Prevention and Control (IPC) data or other healthcare risk data, which can be used as supportive evidence on the ARK Platform.

The ARK Evidence app is available here.

Please contact the team to get access to the application (rob.brennan@ucd.ie).

ARK Training

View the below videos to learn more about how to use the ARK Platform and ARK Evidence applications.


ARK Platform Training/Demo Video



ARK Evidence Training/Demo Video



ARK Project Navigation & Overview Tab Training/Demo Video



ARK Project Evidence Linking Training/Demo Video



ARK Project Report Generation Training/Demo Video



ARK Project Filtered Search, Concept Recommender, Related Projects and Project Analysis Graphs Training/Demo Video

Publications

  • ARK Virus: Access Risk Knowledge Platform for Mindful Governance of Infection Prevention and Control Risk. Final Stakeholder Report. May, 2022. View Stakeholder Report

    - Download RDF

  • McDonald, N., and Ward, M.E. (2022). Building accountability and trust into healthcare risk management. European Conference on Safety and Reliability (ESREL) 2022. View Abstract

  • Vining, R., McDonald, N., McKenna, L., Ward, M.E., Doyle, B., Liang, J., Hernandez, J., Guilfoyle, J., Shuhaiber, A., Geary, U., Fogarty, M., and Brennan, R. (2022). Developing a Framework for Trustworthy AI-Supported Knowledge Management in the Governance of Risk and Change. Human Computer Interaction International (HCII) 2022. View Paper

  • Hernandez, J., McKenna, L., Brennan, R. (2022). TIKD: A Trusted Integrated Knowledge Dataspace for Sensitive Data Sharing and Collaboration. In: Curry, E., Scerri, S., Tuikka, T. (eds) Data Spaces . Springer, Cham. DIO: "https://doi.org/10.1007/978-3-030-98636-0_13"

  • ARK Virus: Access Risk Knowledge Platform for Mindful Governance of PPE for Virus Infection Prevention and Control. Stakeholder Report. December, 2021. View Stakeholder Report

  • McDonald, N., McKenna, L., Vining, R., Doyle, B., Liang, J., Ward, M.E., Ulfvengren, P., Geary, U., Guilfoyle, J., Shuhaiber, A., Hernandez, J., Fogarty, M., Healy, U., Tallon, C., and Brennan, R. (2021). Evaluation of an Access-Risk-Knowledge (ARK) Platform for Governance of Risk and Change in Complex Socio-Technical Systems. International Journal of Environmental Research and Public Health. 2021; 18(23):12572. DOI: https://doi.org/10.3390/ijerph182312572

  • McKenna, L., Liang, J., Duda, N., McDonald, N., and Brennan, R. (2021). ARK-Virus: An ARK Platform Extension for Mindful Risk Governance of Personal Protective Equipment Use in Healthcare. In Companion Proceedings of the Web Conference 2021 (WWW '21). Association for Computing Machinery, New York, NY, USA, 698–700. DOI: https://doi.org/10.1145/3442442.3458609

  • Hernandez, J., McKenna, L. and Brennan, R. (2021). TIKD: A Trusted Integrated Knowledge Dataspace For Sensitive Healthcare Data Sharing. In IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), 1855-1860. DOI: https://doi.org/10.1109/COMPSAC51774.2021.00280

  • Junior, A. C., Basereh, M., Abgaz, Y., Liang, J., Duda, N., McDonald, N., and Brennan, R. (2020). The ARK Platform: Enabling Risk Management through Semantic Web Technologies. In 11th International Conference on Biomedical Ontologies (ICBO 2020) joint with the 10th Workshop on Ontologies and Data in Life Sciences (ODLS) and part of the Bolzano Summer of Knowledge (BoSK 2020), Bolzano, Italy, 2807. http://ceur-ws.org/Vol-2807/paperM.pdf