A Conceptual Framework for Data Governance in IoT-enabled Digital IS Ecosystems

Dasgupta, A; Gill, A; Hussain, F

A Conceptual Framework for Data Governance in IoT-enabled Digital IS Ecosystems

Dasgupta, A

Gill, A

Hussain, F

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Publisher:: SCITEPRESS – Science and Technology Publications
Publication Type:: Conference Proceeding
Citation:: Proceedings of the 8th International Conference on Data Science, Technology and Applications: DATA, 2019, 1, pp. 209-216
Issue Date:: 2019-08-01

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Field	Value	Language
dc.contributor.author	Dasgupta, A https://orcid.org/0000-0002-0645-5984
dc.contributor.author	Gill, A https://orcid.org/0000-0001-6239-6280
dc.contributor.author	Hussain, F https://orcid.org/0000-0003-1513-8072
dc.date	2019-07-26
dc.date.accessioned	2020-05-31T23:18:27Z
dc.date.available	2020-05-31T23:18:27Z
dc.date.issued	2019-08-01
dc.identifier.citation	Proceedings of the 8th International Conference on Data Science, Technology and Applications: DATA, 2019, 1, pp. 209-216
dc.identifier.isbn	978-989-758-377-3
dc.identifier.uri	http://hdl.handle.net/10453/141019
dc.description.abstract	Copyright © 2019 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved There is a growing interest in the use of Internet of Things (IoT) in information systems (IS). Data or information governance is a critical component of IoT enabled digital IS ecosystem. There is insufficient guidance available on how to effectively establish data governance for IoT enabled digital IS ecosystem. The introduction of new regulations related to privacy such as General Data Protection Regulation (GDPR) as well as existing regulations such as Health Insurance Portability and Accountability Act (HIPPA) has added complexity to this issue of data governance. This could possibly hinder the effective IoT adoption in healthcare digital IS ecosystem. This paper enhances the 4I framework, which is iteratively developed and updated using the design science research (DSR) method to address this pressing need for organizations to have a robust governance model to provide the coverage across the entire data lifecycle in IoT-enabled digital IS ecosystem. The 4I framework has four major phases: Identify, Insulate, Inspect and Improve. The application of this framework is demonstrated with the help of a Healthcare case study. It is anticipated that the proposed framework can help the practitioners to identify, insulate, inspect and improve governance of data in IoT enabled digital IS ecosystem.
dc.language	en
dc.publisher	SCITEPRESS – Science and Technology Publications
dc.relation.ispartof	Proceedings of the 8th International Conference on Data Science, Technology and Applications: DATA
dc.relation.ispartof	8th International Conference on Data Science, Technology and Applications
dc.relation.isbasedon	10.5220/0007924302090216
dc.rights	info:eu-repo/semantics/openAccess
dc.title	A Conceptual Framework for Data Governance in IoT-enabled Digital IS Ecosystems
dc.type	Conference Proceeding
utslib.citation.volume	1
utslib.location.activity	Prague, Czech Republic
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Students
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2020-05-31T23:18:24Z
pubs.finish-date	2019-07-28
pubs.place-of-publication	Prague, Czech Republic
pubs.publication-status	Published
pubs.start-date	2019-07-26
pubs.volume	1
utslib.start-page	209
dc.location	Prague, Czech Republic

Abstract:

Copyright © 2019 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved There is a growing interest in the use of Internet of Things (IoT) in information systems (IS). Data or information governance is a critical component of IoT enabled digital IS ecosystem. There is insufficient guidance available on how to effectively establish data governance for IoT enabled digital IS ecosystem. The introduction of new regulations related to privacy such as General Data Protection Regulation (GDPR) as well as existing regulations such as Health Insurance Portability and Accountability Act (HIPPA) has added complexity to this issue of data governance. This could possibly hinder the effective IoT adoption in healthcare digital IS ecosystem. This paper enhances the 4I framework, which is iteratively developed and updated using the design science research (DSR) method to address this pressing need for organizations to have a robust governance model to provide the coverage across the entire data lifecycle in IoT-enabled digital IS ecosystem. The 4I framework has four major phases: Identify, Insulate, Inspect and Improve. The application of this framework is demonstrated with the help of a Healthcare case study. It is anticipated that the proposed framework can help the practitioners to identify, insulate, inspect and improve governance of data in IoT enabled digital IS ecosystem.

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http://hdl.handle.net/10453/141019