DataSci
  • 🎞️Background
    • Background
  • 💾OVERVIEW
    • Overview
  • 🕹️How DataSci Works
    • Data Upload and Data Upload and Verification
    • Data Pricing and Marketplace
    • Community Evaluation and Feedback
    • Decentralized Governance (DAO)
    • Data Usage and Licensing
  • 💡What Makes DataSci Stand Out?
    • Artificial Intelligence (AI) Driven Validation and Recommendation Systems
    • Decentralized Storage (IPFS) and Efficiency Improvements
    • Tokenized Incentive System
    • Decentralized Data Marketplace and Licensing Models
    • Community-Driven Evaluation and Reputation System
    • Advanced Search and Data Discovery
    • Cross-domain collaboration and Sector-Specific Marketplaces
  • 💰Tokenomics
    • Tokenomics
    • Allocation
  • 🪜Roadmap
    • Phase 1: Core Development
    • Phase 2: Community Building
    • Phase 3: Ecosystem Expansion
    • Phase 4: Decentralized Governance and Globalization
  • 🛠️FAQ
    • FAQ
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On this page
  • Community-Driven Decision Making
  • Self-Regulating Ecosystem
  1. How DataSci Works

Decentralized Governance (DAO)

Community-Driven Decision Making

DataSci operates under a Decentralized Autonomous Organization (DAO) model, meaning that platform governance is directly influenced by its community of users. Token holders (those who hold $DSC tokens) are given the right to participate in governance decisions, vote on platform upgrades, and new features, and even set rules or guidelines for data sharing and security practices.

Voting on Proposals: Any member of the DataSci community can submit proposals regarding the platform's future. These can range from technical upgrades to the introduction of new incentive structures.

Self-Regulating Ecosystem

The decentralized governance structure ensures that DataSci’s evolution aligns with the needs of its users. The platform evolves in response to community-driven proposals, creating a highly adaptive and user-centric system prioritizing long-term growth and innovation.

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Last updated 2 months ago

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