The verification process incorporates data fingerprinting (e.g., cryptographic hashing) to detect duplication, automated analysis for malware identification, and metadata comparison for IP concerns. Datasets that pass this initial verification proceed to the community voting stage with a suggested listing price based on factors like dataset size and expected demand. This preliminary verification stage balances automated checks with human oversight, ensuring efficient processing while maintaining appropriate standards. It serves as a first line of defense against problematic submissions, reducing the governance burden on the DAO.