Authors:
Avirup Dasgupta
;
Asif Gill
and
Farookh Hussain
Affiliation:
School of Software, University of Technology Sydney and Australia
Keyword(s):
IoT, Data Governance, Framework, Data Management.
Related
Ontology
Subjects/Areas/Topics:
Data and Application Security and Privacy
;
Data Engineering
;
Data Management and Quality
;
Data Privacy and Security
;
Databases and Data Security
;
Information and Systems Security
;
Information Quality
Abstract:
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 maj
or 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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