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

Avirup Dasgupta, Asif Gill, Farookh Hussain

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 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.

Download


Paper Citation


in Harvard Style

Dasgupta A., Gill A. and Hussain F. (2019). A Conceptual Framework for Data Governance in IoT-enabled Digital IS Ecosystems.In Proceedings of the 8th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-377-3, pages 209-216. DOI: 10.5220/0007924302090216


in Bibtex Style

@conference{data19,
author={Avirup Dasgupta and Asif Gill and Farookh Hussain},
title={A Conceptual Framework for Data Governance in IoT-enabled Digital IS Ecosystems},
booktitle={Proceedings of the 8th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2019},
pages={209-216},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007924302090216},
isbn={978-989-758-377-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - A Conceptual Framework for Data Governance in IoT-enabled Digital IS Ecosystems
SN - 978-989-758-377-3
AU - Dasgupta A.
AU - Gill A.
AU - Hussain F.
PY - 2019
SP - 209
EP - 216
DO - 10.5220/0007924302090216