Abstract
The data economy is inevitably rising while data is becoming the ‘new fuel’ driving the world economy as discussed in many studies from a number of viewpoints including economics, technology development, digitisation, and data analytic technologies. Although the significance of data trading is recognised as a critical part of data economy, how data should be described, protected, packaged and priced as data product for trading has not been fully explored. In this chapter we present a service-based approach for data resources to data product transformation and mechanism for data product trading.
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Acknowledgements
The authors thank Dr Pin Chen for discussions, insights, contributions and support to help the team in the efforts to explore and investigate this complex but promising research area, and to write this chapter.
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Yang, J., Tang, Y., Beheshti, A. (2021). Design Methodology for Service-Based Data Product Sharing and Trading. In: Aiello, M., Bouguettaya, A., Tamburri, D.A., van den Heuvel, WJ. (eds) Next-Gen Digital Services. A Retrospective and Roadmap for Service Computing of the Future. Lecture Notes in Computer Science(), vol 12521. Springer, Cham. https://doi.org/10.1007/978-3-030-73203-5_17
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DOI: https://doi.org/10.1007/978-3-030-73203-5_17
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