Journal article
Markets for data
- Abstract:
- Although datasets are abundant and assumed to be immensely valuable, they are not being shared or traded openly and transparently on a large scale. We investigate the nature of data trading with a conceptual market design approach and demonstrate the importance of provenance to overcome appropriability and quality concerns. We consider the requirements for efficient data exchange, comparing existing trading arrangements against efficient market models and show that it is possible to achieve either large markets with little control or small markets with greater control. We describe some future research directions.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, 299.2KB, Terms of use)
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- Publisher copy:
- 10.1093/icc/dtaa002
Authors
- Publisher:
- Oxford University Press
- Journal:
- Industrial and Corporate Change More from this journal
- Volume:
- 29
- Issue:
- 3
- Pages:
- 645–660
- Publication date:
- 2020-03-13
- Acceptance date:
- 2020-01-05
- DOI:
- EISSN:
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1464-3650
- ISSN:
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0960-6491
- Language:
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English
- Keywords:
- Pubs id:
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pubs:1081404
- UUID:
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uuid:d1ec0073-bc31-49c3-ab13-3b019c372575
- Local pid:
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pubs:1081404
- Source identifiers:
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1081404
- Deposit date:
-
2020-01-09
Terms of use
- Copyright holder:
- Koutroumpis et al.
- Copyright date:
- 2020
- Rights statement:
- © The Author(s) 2020. Published by Oxford University Press on behalf of Associazione ICC. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact [email protected]
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