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000047805 022__ $$a0960-6491 (Print)$$a1464-3650 (Online)
000047805 040__ $$aSzGeWIPO$$beng$$erda$$cSzGeWIPO
000047805 041__ $$aeng
000047805 24500 $$aMarkets for data.
000047805 264_1 $$aOxford, UK :$$bOxford University Press,$$c2020.
000047805 336__ $$atext$$2rdacontent
000047805 337__ $$acomputer$$2rdamedia
000047805 338__ $$aonline resource$$bcr$$2rdacarrier
000047805 4901_ $$aIndustrial and Corporate Change$$vVolume 29, Issue 3
000047805 5203_ $$aAlthough datasets are abundant and assumed to be immensely valuable, they are not being shared or traded openly and transparently on a large scale. We investigate the nature of data trading with a conceptual market design approach and demonstrate the importance of provenance to overcome appropriability and quality concerns. We consider the requirements for efficient data exchange, comparing existing trading arrangements against efficient market models and show that it is possible to achieve either large markets with little control or small markets with greater control. We describe some future research directions.
000047805 542__ $$fhttps://academic.oup.com/pages/using-the-content/citation
000047805 590__ $$aPublished online: 2020
000047805 650_0 $$aData mining
000047805 650_0 $$aIntellectual property
000047805 650_0 $$aStatistical services
000047805 650_0 $$aArtificial intelligence
000047805 7001_ $$aKoutroumpis, Pantelis,$$vauthor.
000047805 7001_ $$aLeiponen, Aija,$$eauthor.
000047805 7001_ $$aThomas, Llewellyn D. W.,$$eauthor.
000047805 7731_ $$tIndustrial and Corporate Change,$$wINCC
000047805 830_0 $$aIndustrial and Corporate Change$$vINCC 2020, 29(3), 645–660
000047805 85641 $$uhttps://doi.org/10.1093/icc/dtaa002$$yRead the Article
000047805 904__ $$aArticle
000047805 980__ $$aINCC