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Challenges in value-driven data governance

Attard, Judie orcid logoORCID: 0000-0001-7507-1864 and Brennan, Rob orcid logoORCID: 0000-0001-8236-362X (2018) Challenges in value-driven data governance. In: OTM Confederated International Conferences "On the Move to Meaningful Internet Systems", 22-26 Oct 2018, Valletta, Malta. ISBN 978-3-030-02670-7

Abstract
Data is quite popularly considered to be the new oil since it has become a valuable commodity. This has resulted in many entities and businesses that hoard data with the aim of exploiting it. Yet, the ‘simple’ exploitation of data results in entities who are not obtaining the highest benefits from the data, which as yet is not considered to be a fully-fledged enterprise asset. Such data can exist in a duplicated, fragmented, and isolated form, and the sheer volume of available data further complicates the situation. Issues such as the latter highlight the need for value-based data governance, where the management of data assets is based on the quantification of the data value. This quantification will provide an opportunity for evidence-based approaches to data governance. This paper has the purpose of creating awareness and further understanding of challenges that result in untapped data value. We identify niches in related work, and through our experience with businesses who use data assets, we here analyse four main context-independent challenges that hinder entities from achieving the full benefits of using their data. This will aid in the advancement of the field of value-driven data governance and therefore directly affect data asset exploitation.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Data governance; data value; data asset; data exploitation
Subjects:UNSPECIFIED
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > ADAPT
Published in: On the Move to Meaningful Internet Systems. OTM 2018 Conferences Confederated International Conferences. Lecture Notes in Computer Science 11230. Springer International Publishing. ISBN 978-3-030-02670-7
Publisher:Springer International Publishing
Official URL:https://doi.org/10.1007/978-3-030-02671-4_33
Copyright Information:© 2018 Springer Nature
ID Code:22980
Deposited On:15 Feb 2019 12:58 by Thomas Murtagh . Last Modified 15 Feb 2019 12:58
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