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Exploiting the Value of Data through Data Value Networks

Published: 07 March 2017 Publication History

Abstract

Open data is increasingly permeating into all dimensions of our society and has become an indispensable commodity that serves as a basis for many products and services. Governments are generating a huge amount of data spanning different dimensions. This dataification shows the paramount need to identify the means and methods in which the value of data and knowledge can be exploited. While not restricted to the government domain, this dataification is certainly relevant in a government context, particularly due to the large volume of data generated by public institutions. In this paper we identify the various activities and roles within a data value chain, and hence proceed to provide our own definition of a Data Value Network. We specifically cater for non-tangible data products and characterise three dimensions that play a vital role within the Data Value Network. We also propose a Demand and Supply Distribution Model with the aim of providing insight on how an entity can participate in the global data market by producing a data product, as well as a concrete implementation through the Demand and Supply as a Service. Through our contributions we therefore project our vision of enhancing the process of open (government) data exploitation and innovation, with the aim of achieving the highest possible impact.

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Cited By

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  • (2023)Towards a FAIR-ready Data Value Chain for DataspacesAdvances in Enterprise Engineering XVI10.1007/978-3-031-34175-5_6(90-105)Online publication date: 27-May-2023
  • (2022)Data Market Design: A Systematic Literature ReviewIEEE Access10.1109/ACCESS.2022.316147810(33123-33153)Online publication date: 2022
  • (2021)Business Data Sharing through Data Marketplaces: A Systematic Literature ReviewJournal of Theoretical and Applied Electronic Commerce Research10.3390/jtaer1607018016:7(3321-3339)Online publication date: 3-Dec-2021
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ICEGOV '17: Proceedings of the 10th International Conference on Theory and Practice of Electronic Governance
March 2017
657 pages
ISBN:9781450348256
DOI:10.1145/3047273
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 March 2017

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Author Tags

  1. data demand
  2. data supply
  3. data value chain
  4. data value network
  5. exploitation
  6. impacts
  7. innovation
  8. open data
  9. value creation

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  • Refereed limited

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ICEGOV '17

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Overall Acceptance Rate 350 of 865 submissions, 40%

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Cited By

View all
  • (2023)Towards a FAIR-ready Data Value Chain for DataspacesAdvances in Enterprise Engineering XVI10.1007/978-3-031-34175-5_6(90-105)Online publication date: 27-May-2023
  • (2022)Data Market Design: A Systematic Literature ReviewIEEE Access10.1109/ACCESS.2022.316147810(33123-33153)Online publication date: 2022
  • (2021)Business Data Sharing through Data Marketplaces: A Systematic Literature ReviewJournal of Theoretical and Applied Electronic Commerce Research10.3390/jtaer1607018016:7(3321-3339)Online publication date: 3-Dec-2021
  • (2020)The Data Provision Game: Researching Revenue Sharing in Collaborative Data Networks2020 IEEE 22nd Conference on Business Informatics (CBI)10.1109/CBI49978.2020.00028(191-200)Online publication date: Jun-2020
  • (2019)Digital Transformation in Aeronautics through the ICARUS Aviation Data and Intelligence MarketplaceMATEC Web of Conferences10.1051/matecconf/201930404002304(04002)Online publication date: 17-Dec-2019
  • (2019)DaVe: A Semantic Data Value Vocabulary to Enable Data Value CharacterisationEnterprise Information Systems10.1007/978-3-030-26169-6_12(239-261)Online publication date: 28-Jul-2019

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