Don`t Buy A Pig In A Poke A Framework for Checking Consumer Requirements In A Data Marketplace

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dc.contributor.authorLawrenz, Sebastian
dc.contributor.authorRausch , Andreas
dc.date.accessioned2020-12-24T19:58:16Z
dc.date.available2020-12-24T19:58:16Z
dc.date.issued2021-01-05
dc.description.abstractThe 21st century is the century of data. Data is the new oil and powers many new applications and business models. The increasing value of data leads to the fact requires new possibilities and methods to trade with “data” as a trading good. One of these possibilities is a data marketplace, a digital e-commerce platform like eBay or Amazon, but specifically targeting data, information, and datasets. Since, other than physical trading goods, data is not so easy to verify, a framework is required to characterize data and to validate data against user requirements. This leads to a conflict between security and privacy requirements of data providers and the necessity of checking the data consumer requirements. In this paper, we discuss the specific challenges of data trading and introduce a framework to help users check their specific requirements (Data Quality) as a reference point for a purchase decision.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2021.566
dc.identifier.isbn978-0-9981331-4-0
dc.identifier.urihttp://hdl.handle.net/10125/71183
dc.language.isoEnglish
dc.relation.ispartofProceedings of the 54th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSocial Shopping: The Good, the Bad and the Ugly
dc.subjectdata marketplace
dc.subjectdata quality
dc.subjectdata trading
dc.subjectvalue of information
dc.titleDon`t Buy A Pig In A Poke A Framework for Checking Consumer Requirements In A Data Marketplace
prism.startingpage4663

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