Abstract
Data and data-related services are increasingly being traded on data marketplaces. However, value attribution of data is still not well-understood, in particular when two competing offers are to be compared. This paper discusses the role data quality can play in this context and suggests a weighted quality score that allows for ‘quality for money’ comparisons of different offerings.
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Stahl, F., Vossen, G. (2016). Data Quality Scores for Pricing on Data Marketplaces. In: Nguyen, N.T., Trawiński, B., Fujita, H., Hong, TP. (eds) Intelligent Information and Database Systems. ACIIDS 2016. Lecture Notes in Computer Science(), vol 9621. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49381-6_21
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DOI: https://doi.org/10.1007/978-3-662-49381-6_21
Publisher Name: Springer, Berlin, Heidelberg
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