Given a data set $\mathcal {D} $ containing millions of data points and a data consumer who
is willing to pay for\$$ X $ to train a machine learning (ML) model over $\mathcal {D} $, how …

Data are invaluable. How can we assess the value of data objectively, systematically and
quantitatively? Pricing data, or information goods in general, has been studied and practiced …

A data marketplace is an online venue that brings data owners, data brokers, and data
consumers together and facilitates commoditisation of data amongst them. Data pricing, as a …

Buying and selling of data online has increased substantially over the last few years.
Several frameworks have already been proposed that study query pricing in theory and …

With the prevalence of data-driven research, data valuation has attracted attention from the
computer science field. How to appraise a single datum becomes an imperative problem …

The society's insatiable appetites for personal data are driving the emergence of data
markets, allowing data consumers to launch customized queries over the datasets collected …

Data play an increasingly important role in smart data analytics, which facilitate many data-
driven applications. The goal of various data markets aims to alleviate the issue of isolated …

The exponential growth of Internet of Things (IoT) data has pushed the boundaries of data
analysis, but it has also raised concerns about the increasing commoditization of personal …

Data have significant economic or social value in many application fields including science,
business, governance, etc. This naturally leads to the emergence of many data markets such …

The advancement of information technologies such as Web 2.0 and Cloud Computing and
the increasing deployment and use of the Internet of Things have promoted the capture …