TY  - BOOK
N2  - 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.
AB  - 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.
T1  - Markets for data.
AU  - Koutroumpis, Pantelis,
AU  - Leiponen, Aija,
AU  - Thomas, Llewellyn D. W.,
JF  - Industrial and Corporate Change,
VL  - Volume 29, Issue 3
LA  - eng
ID  - 47805
KW  - Data mining
KW  - Intellectual property
KW  - Statistical services
KW  - Artificial intelligence
SN  - 0960-6491 (Print)
SN  - 1464-3650 (Online)
TI  - Markets for data.
LK  - https://doi.org/10.1093/icc/dtaa002
UR  - https://doi.org/10.1093/icc/dtaa002
ER  -