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Authors: Aleksandra Czarnik 1 ; Aoife Darragh 1 ; Maria Hurley 1 ; Daniel O’Connell 1 ; Michele Quagliata 1 and Rob Brennan 2

Affiliations: 1 School of Computing & School of Law and Government, Dublin City University, Dublin 9, Ireland ; 2 ADAPT Centre, School of Computing, Dublin City University, Dublin 9, Ireland

Keyword(s): Data Governance, Health Data, Data Security, Health Research, Public Administrative Bodies.

Abstract: This paper examines, from a data governance perspective, the creation and operation of the Irish Covid–19 Data Research Hub, a secure multi-institution collation and access-controlled source of sensitive Covid–19 epidemiological data from diverse sources. The Hub is assessed alongside international comparators and with reference to a set of leading academic data governance models, including those developed by Khatri & Brown (2010), Winter & Davidson (2019), and Abraham et al (2019). The analysis explores the requirements for such data hubs balancing data protection, security, and health policy decision making. It examines the data hub design from architectural, data access policy, and data governance perspectives. Whilst recognising certain unique features of the Covid–19 Data Research Hub not replicated elsewhere, it highlights key data governance strengths and gaps in the model used which may inform future development of similar hubs supporting the exploitation of public sector dat a for health policy-related research. The interdisciplinary legal and technical data governance assessment methodology described here is applicable to the increasing number of data federation and aggregation projects increasingly being deployed in both public and private healthcare settings. (More)

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Paper citation in several formats:
Czarnik, A.; Darragh, A.; Hurley, M.; O’Connell, D.; Quagliata, M. and Brennan, R. (2022). Best Practice in Multi-organisation Sensitive Health Data Sharing: A Comparative Analysis of Ireland’s Data Governance Approach for the Covid–19 Data Research Hub. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - HEALTHINF; ISBN 978-989-758-552-4; ISSN 2184-4305, SciTePress, pages 57-68. DOI: 10.5220/0010802100003123

@conference{healthinf22,
author={Aleksandra Czarnik. and Aoife Darragh. and Maria Hurley. and Daniel O’Connell. and Michele Quagliata. and Rob Brennan.},
title={Best Practice in Multi-organisation Sensitive Health Data Sharing: A Comparative Analysis of Ireland’s Data Governance Approach for the Covid–19 Data Research Hub},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - HEALTHINF},
year={2022},
pages={57-68},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010802100003123},
isbn={978-989-758-552-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - HEALTHINF
TI - Best Practice in Multi-organisation Sensitive Health Data Sharing: A Comparative Analysis of Ireland’s Data Governance Approach for the Covid–19 Data Research Hub
SN - 978-989-758-552-4
IS - 2184-4305
AU - Czarnik, A.
AU - Darragh, A.
AU - Hurley, M.
AU - O’Connell, D.
AU - Quagliata, M.
AU - Brennan, R.
PY - 2022
SP - 57
EP - 68
DO - 10.5220/0010802100003123
PB - SciTePress