<ul><li>Incentivizing truthful data sharing is important in modern data marketplaces and sharing consortia to discourage manipulation.</li><li>Schemes that reward agents based on the quantity of data submitted can lead to fabricated or low-quality data being submitted.</li><li>A new approach based on a Cramér-von Mises statistic-inspired two-sample test has been developed to incentivize agents to submit genuine data and discourage fabrication.</li><li>The method establishes truthful reporting as a Nash equilibrium and relaxes key assumptions made by prior work in data sharing problems.</li></ul>

A Cram\'er-von Mises Approach to Incentivizing Truthful Data Sharing

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