Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/79937

Data Trading Similarity Signature An Extended Data Trading Framework for Human and Non-Human Actors

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Title:Data Trading Similarity Signature An Extended Data Trading Framework for Human and Non-Human Actors
Authors:Lawrenz, Sebastian
Poschmann, Hendrik
Rausch , Andreas
Stein , Vera
Keywords:Social Shopping: The Good, the Bad, and the Ugly
autoencoder
data marketplace
data quality
data trading
show 1 moredesign science
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Date Issued:04 Jan 2022
Abstract:Fair and secure data trading is one of the most prominent challenges of the 21st century. This paper presents a second iteration of an approach to develop a data marketplace concept by checking consumer requirements. The main problem we identified is data quality and the question: Would a dataset fulfill the consumer requirements? Starting from an approach that uses a binary response set to answer the question of whether requirements are met, we concluded that a description of consumer requirements needs to be quantitatively comparable. The novel approach presented here identifies similarities between datasets and consumer requirements. It forms a unique, fingerprint-like similarity signature for each dataset, which can be interpreted by both human and non-human actors. The approach is deducted and designed by using the Design Science Research Methodology and discussed critically in the end.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/79937
ISBN:978-0-9981331-5-7
DOI:10.24251/HICSS.2022.600
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Social Shopping: The Good, the Bad, and the Ugly


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