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+Summary
+-------
+
+This paper provides a systematic survey of existing data marketplaces and data
+products therein. Specifically, the authors scraped information about 215,075
+data products from 15 data marketplaces. This information included metadata
+such as price, description, data category, geographic scope, time range, etc.
+Some of the findings obtained from analyzing these products include:
+* perhaps surprisingly, most data products are offered for free, with only
+  11,823 paid products.
+* the paid products are sold mostly under either a subscription-based model
+  (for “live” data) or a one-off model.
+* the range of data prices is very wide, but prices can often be well predicted
+  by simple regression model using features such as number of data points,
+  coverage and granularity.
+* the relative predictability of prices can be used to build a data quotation
+  tool that takes as input the description of a new data product and outputs
+  a price quotation.
+
+Comments
+--------
+
+This works provides a valuable empirical study of existing data marketplaces.
+The paper is well-written and the methodology is well-documented. The analysis
+of the scraped data products is a convincing first step in trying to make sense
+of the wide range of data products and the factors driving their prices.
+
+Minor comments:
+* the second sentence of the first paragraph in section 6.1 seems to be the
+  result of an incomplete editing process and should be rewritten. Probably,
+  "We found that...".
+* the y-axis in Figure 4 should be labeled “Number of products”.
+
+Conclusion
+----------
+
+I believe that this works is a valuable reference point and asset to the Data
+Economy research community and I recommend acceptance.
+