Datasets that pass [[ZKP/Data Marketplace/Decentralized Governance/Dataset Submission and Preliminary Verification|preliminary verification]] are submitted for voting by DTK token holders within the [[ZKP/Data Marketplace/Decentralized Governance/Decentralized Governance via Data DAOs|Data DAO]] through the democracy pallet. The voting process employs a multi-tiered approach that pragmatically balances [[ZKP/Data Marketplace/Technical Basis/Cryptographic Foundations/zk-SNARKs and Privacy Framework|privacy,]] scalability, and [[ZKP/Data Marketplace/Security and Privacy/Security and Privacy Foundations|security:]] **For Standard Decisions (high frequency, lower stakes):** A commitment-based voting scheme managed through the democracy pallet allows token holders to commit their votes in an encrypted format, with results revealed after the voting period concludes. This approach provides basic privacy while maintaining computational efficiency. The system can process approximately 1,000-10,000 votes per day within reasonable weight constraints. **For Sensitive Decisions (low frequency, higher stakes):** [[ZKP/ZKP Base Layer/Core Concepts/Zero-Knowledge Proofs|Zero-knowledge proofs]] provide stronger privacy guarantees, where each voter proves valid voting rights without revealing their identity or specific vote. Due to the computational intensity of [[ZKP/Data Marketplace/Technical Basis/Cryptographic Foundations/Lifecycle of zk-SNARKs|ZK verification]], this tier is reserved for critical governance decisions (approximately 1-5 per month) and employs: - Batched proof verification (amortizing costs across multiple votes) - Delegation mechanisms (reducing the total proof count) - Quorum-based sampling (where a statistically significant subset of token holders participate) This pragmatic approach acknowledges the inherent scalability constraints of on-chain governance while preserving privacy for the most sensitive decisions. See also: [[ZKP/Data Marketplace/Decentralized Governance/Community-Driven Audit|Community-Driven Audit]]