6. DataVLT economic model

Token Name: DATAVLT

Public Chain: Optimism

Total number of pieces issued: 1 billion

6.1 Token allocation details

6.2 Nodes and Mining Mechanisms

1. Number of nodes: No upper limit.

2. Pledge mining:

• Nodes participate in mining by pledging DATAVLT tokens, and mining rewards are weighted in proportion to the number of pledges.

• Nodes are required to pledge at least a certain number of DATAVLT tokens in order to activate the mining status (minimum pledge is 50,000 DATAVLT).

• Mining rewards will be distributed based on the ratio of the number of DATAVLT tokens pledged by each node relative to the total amount pledged.

3. Node activation and maintenance.

• Node operators are required to maintain a minimum pledge volume on an ongoing basis and may need to meet other performance and response criteria to ensure healthy network operation.

• Node performance and pledge volume will be reviewed periodically to ensure network quality.

6.3 Data Assetization and Identity Confirmation Systems

Build a digital identity infrastructure based on DID NFT to realize the value transformation of "data as an asset":

DID Casting and Enabling Mechanisms

functional module	technical realization	Entitlement system	incentive model
identity casting	Programmable DID based on the ERC-723 standard	1. Cross-platform identity pass 2. Data sovereignty credentials	500 $DATAVLT for casting!
data bank	Distributed Storage + Contributed Value Algorithm	1. Right to data access benefits 2. Model training dividend rights	0.5-3% bonus for average daily data contribution
Scenario Incentive Pool	Smart Contracts Automatically Allocated	1. Health data contribution list 2. Environmental data goldmine	Quarterly TOP 100 extra 200% bonus
Governance pass	Weighted voting mechanism	1. Agreement to upgrade voting rights 2. Right to propose ecological benefits	Pledge volume determines governance weighting

Core value realization

• Three-dimensional system of rights

• • Identity layer: Generation of tamper-proof DID digital fingerprints

  • Data layer: building a personal data ledger (300+ events recorded daily)

  • Asset layer: automatic generation of data asset vouchers (ERC-1155 standard)

• Dynamic Incentive Model

• • Base Reward: per GB of valid data = 50 $DATAVLT

  • Quality factor: data validity rating (70-130% variable)

  • Scenario Plus: Double the rewards for participating in designated research projects

• Privacy Framework

• • Zero-knowledge proofs verify data validity

  • Federated Learning Achieves Data Availability Without Visibility

  • Differential privacy techniques guarantee anonymization (ε = 0.8)