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Challenges in Value-Driven Data Governance

  • Judie Attard
  • Rob Brennan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11230)

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 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.

Keywords

Data governance Data value Data asset Data exploitation 

Notes

Acknowledgements

This research has received funding from the ADAPT Centre for Digital Content Technology, funded under the SFI Research Centres Programme (Grant 13/RC/2106), co-funded by the European Regional Development Fund and the European Unions Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 713567.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.KDEG, ADAPT Centre, School of Computer Science and StatisticsO’Reilly Institute, Trinity College DublinDublin 2Ireland

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