Quantitatively validate DCGO using empirical demonstration data

Obtain empirical fraud rates, detection times, and certification costs from planned demonstrations and quantitatively evaluate the applicability of the Data Credit Guarantee Organization to specific industries and regions.

Background

The simulation parameters are not calibrated against observed data, so the reported results establish qualitative relationships rather than quantitative predictions. The paper identifies fraud frequency, time to detection, and certification costs as empirical inputs needed to assess whether the simulated conditions apply in particular sectors and geographic settings.

References

Finally, the parameters are not calibrated with real data, so our findings are limited to qualitative conditions. The next step is to obtain the fraud rate, the time to detection, and certification costs from the planned demonstrations and to evaluate the applicability of DCGO to specific industries and regions quantitatively.

— Institutionalizing Trust in Data Exchange: Trust-Anchor Model of the Data Credit Guarantee Organization and Its Simulation-Based Comparison  (2610.18400 - Mano et al., 13 Oct 2026) in Section 6.2, “Limitations and Future Work”