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

dc.contributor.author Lawrenz, Sebastian
dc.contributor.author Rausch , Andreas
dc.date.accessioned 2020-12-24T19:58:16Z
dc.date.available 2020-12-24T19:58:16Z
dc.date.issued 2021-01-05
dc.description.abstract The 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.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2021.566
dc.identifier.isbn 978-0-9981331-4-0
dc.identifier.uri http://hdl.handle.net/10125/71183
dc.language.iso English
dc.relation.ispartof Proceedings of the 54th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Social Shopping: The Good, the Bad and the Ugly
dc.subject data marketplace
dc.subject data quality
dc.subject data trading
dc.subject value of information
dc.title Don`t Buy A Pig In A Poke A Framework for Checking Consumer Requirements In A Data Marketplace
prism.startingpage 4663
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