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Pricing of Data Products in Data Marketplaces

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 304))

Abstract

Mobile computing and the Internet of Things promises massive amounts of data for big data analytic and machine learning. A data sharing economy is needed to make that data available for companies that wish to develop smart systems and services. While digital markets for trading data are emerging, there is no consolidated understanding of how to price data products and thus offer data vendors incentives for sharing data. This paper uses a combined keyword search and snowballing approach to systematically review the literature on the pricing of data products that are to be offered on marketplaces. The results give insights into the maturity and character of data pricing. They enable practitioners to select a pricing approach suitable for their situation and researchers to extend and mature data pricing as a topic.

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Notes

  1. 1.

    https://ec.europa.eu/programmes/horizon2020/en/h2020-section/societal-challenges.

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Acknowledgments

The presented work was funded by the European Union’s Horizon 2020 research and innovation program under grant agreement No. 732204 (Bonseyes) and by the Swiss State Secretariat for Education‚ Research and Innovation (SERI) under contract number 16.0159. The opinions expressed and arguments employed herein do not necessarily reflect the official views of these funding bodies.

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Correspondence to Samuel A. Fricker .

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Appendix: Bibliography of Included Papers

Appendix: Bibliography of Included Papers

  1. P01

    Balasubramanian, S., Bhattacharya, S., & Krishnan, V.: Pricing information goods: A strategic analysis of the selling and pay-per-use mechanisms. Marketing Science, 34(2), 218-234 (2015)

  2. P02

    Golrezaei, N., & Nazerzadeh, H.: Pricing Schemes for Metropolitan Traffic Data Mar-kets. 3rd International Conference on Data Management Technologies and Applications, Vienna, Austria (2014)

  3. P03

    Jiang, C., Gao, L., Duan, L., & Huang, J.: Economics of peer-to-peer mobile crowdsensing. 2015 IEEE Global Communications Conference (GLOBECOM), San Diego, CA, USA (2015)

  4. P04

    Koutris, P., Upadhyaya, P., Balazinska, M., Howe, B., & Suciu, D.: Query-based data pricing. Journal of the ACM (JACM), 62(5), 1-44 (2015)

  5. P05

    Koutris, P., Upadhyaya, P., Balazinska, M., Howe, B., & Suciu, D.: Toward practical query pricing with QueryMarket. 2013 ACM SIGMOD International Conference on Management of Data, New York, NY, USA (2013)

  6. P06

    Kushal, A., Moorthy, S., & Kumar, V.: Pricing for data markets. Technical Report (2012)

  7. P07

    Li, C., & Miklau, G.: Pricing Aggregate Queries in a Data Marketplace. 15th International Workshop on the Web and Databases 2012 (WebDB), Scottsdale, AZ, USA (2012)

  8. P08

    Li, C., Li, D. Y., Miklau, G., & Suciu, D.: A theory of pricing private data. ACM Trans-actions on Database Systems (TODS), 39(4), 1-28 (2014)

  9. P09

    Niyato, D., Alsheikh, M. A., Wang, P., Kim, D. I., & Han, Z.: Market model and optimal pricing scheme of big data and Internet of Things (IoT). 2016 IEEE International Conference on Communications (ICC), Kuala Lumpur, Malaysia (2016)

  10. P10

    Stahl, F., & Vossen, G.: Fair Knapsack Pricing for Data Marketplaces. 20th East European Conference on Advances in Databases and Information Systems (ADBIS), Prague, Czech Republic (2016)

  11. P11

    Tang, R., Shao, D., Bressan, S., & Valduriez, P.: What you pay for is what you get. 24th International Conference on Database and Expert Systems Applications (DEXA), Prague, Czech Republic (2013)

  12. P12

    Tang, R., Wu, H., Bao, Z., Bressan, S., & Valduriez, P.: The price is right. 24th International Conference on Database and Expert Systems Applications (DEXA), Prague, Czech Republic (2013)

  13. P13

    Tang, R., Wu, H., He, X., & Bressan, S.: Valuating Queries for Data Trading in Modern Cities. 2015 IEEE International Conference on Data Mining Workshop (ICDMW), Atlantic City, NJ, USA (2015)

  14. P14

    Tang, R., Amarilli, A., Senellart, P., & Bressan, S.: A Framework for Sampling-Based XML Data Pricing. Transaction on Large-Scale Data-and Knowledge-Centered Systems XXIV, 9510, 116-138 (2016)

  15. P15

    Wu, S. Y., & Banker, R. D.: Best pricing strategy for information services. Journal of the Association for Information Systems, 11(6), 339-366 (2010)

  16. P16

    Balazinska, M., Howe, B., Koutris, P., Suciu, D., & Upadhyaya, P.: A discussion on pricing relational data. Search of Elegance in the Theory and Practice of Computation. In: Search of Elegance in the Theory and Practice of Computation. 167-173, Springer (2013)

  17. P17

    Shapiro, C., & Varian, H. R.: Versioning: the smart way to sell information. Harvard Business Review, 76(6), 106-114 (1998)

  18. P18

    Shen, Y., Guo, B., Shen, Y., Duan, X., Dong, X., & Zhang, H.: A pricing model for Big Personal Data. Tsinghua Science and Technology, 21(5), 482-490 (2016)

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Fricker, S.A., Maksimov, Y.V. (2017). Pricing of Data Products in Data Marketplaces. In: Ojala, A., Holmström Olsson, H., Werder, K. (eds) Software Business. ICSOB 2017. Lecture Notes in Business Information Processing, vol 304. Springer, Cham. https://doi.org/10.1007/978-3-319-69191-6_4

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  • DOI: https://doi.org/10.1007/978-3-319-69191-6_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69190-9

  • Online ISBN: 978-3-319-69191-6

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