Abstract
Data and data-related services are increasingly being traded on data marketplaces. However, value attribution of data is still not wellunderstood, 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.
Cite
CITATION STYLE
Stahl, F., & Vossen, G. (2016). Data quality scores for pricing on data marketplaces. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9621, pp. 215–224). Springer Verlag. https://doi.org/10.1007/978-3-662-49381-6_21
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