Data Forest Whitepaper v1.0

1. Abstract

Artificial Intelligence (AI), the engine of the Fourth Industrial Revolution, cannot operate without the fuel of data. However, the current data market is monopolized by a few large corporations, and individuals, the actual producers of data, are not fairly compensated for their contributions. Data Forest is a Web 3.0-based decentralized data crowdsourcing platform created to solve this centralized data monopoly. By combining blockchain technology and gamification mechanisms, we aim to build a new data economy ecosystem where anyone in the world can contribute to AI advancement and receive transparent and fair rewards. This whitepaper explains the vision of Data Forest, its technical implementation, and its token economy model centered around the DCT (Data Contribution Token).

2. Introduction: The Data Dilemma and a New Opportunity

We produce a vast amount of data through our smartphones every day, yet the ownership of that data and the economic value it generates mostly belong to the platform companies we use. This 'Data Paradox' creates several serious problems:

• Value Imbalance: Individuals, the primary producers of data, are excluded from compensation, while centralized platforms monopolize enormous profits.
• Data Bias: Data used for training AI models is often collected in controlled environments and fails to reflect the diversity of the real world. This is a major cause of compromised fairness and accuracy in AI models.
• Lack of Motivation: For individuals, data collection and labeling are perceived as unrewarded, tedious labor, which limits the large-scale acquisition of high-quality data.

We believe that blockchain technology is the key to solving these problems and returning Data Sovereignty to individuals.

3. Solution: The Data Forest Ecosystem

Data Forest transforms the act of 'data collection' into an enjoyable experience of 'exploring and growing a forest.' Users participate in data collection missions through a mobile app and earn DCT tokens as a reward for their contributions, allowing them to grow their own 'Data Forest'.

• Gamified Experience: Users complete missions to earn experience points (EXP) and level up. Higher levels provide opportunities to participate in rarer and more rewarding missions.
• Transparent and Immediate Rewards: All data submission, verification, and reward processes are recorded on a smart contract, making them immutable. Participants can transparently check and receive their rewards instantly.
• High-Quality Real-World Data: All data is collected exclusively through the in-app camera, with GPS and time information recorded at the moment of capture. This ensures the provenance and reliability of the data, contributing decisively to reducing AI model bias.
• Data Marketplace: Enterprises and developers can purchase specific categories of data needed for AI training at a reasonable cost using DCT tokens in the Data Forest marketplace.

4. Core Technology & Architecture

Data Forest is built on a proven, modern technology stack to ensure stability and scalability.

• Mobile Platform: We provide a high-performance cross-platform app supporting both iOS and Android environments using Flutter.
• Backend: Adopting a Microservices Architecture (MSA), each function (user, mission, reward, etc.) can be developed and scaled independently. The entire infrastructure runs on Google Kubernetes Engine (GKE) to ensure high availability.
• Blockchain: Initially, we will adopt Polygon (MATIC) as the main network, known for its low gas fees and high transaction speed, to lower the entry barrier for users. All token issuance and reward distributions are automated through smart contracts written in Solidity.

5. Tokenomics: The DCT (Data Contribution Token) Economic Model

DCT is a utility token that serves as the lifeblood of the Data Forest ecosystem.

Token Information

• Name: Data Contribution Token
• Symbol: DCT
• Blockchain: Polygon (ERC-20)
• Total Supply: 100,000,000,000 DCT (100 Billion)

DCT Utility

• Ecosystem Rewards: Paid as a reward for all contributions to the ecosystem, such as data collection, verification, and referrals.
• Data Purchase Medium: Enterprise clients must use DCT to purchase AI training data from the marketplace.
• Platform Fees: Fees incurred from data transactions are paid in DCT. (A portion of the fees will be burned to help stabilize the token's value).
• Governance (Future): DCT holders will have voting rights on major platform policy decisions (e.g., new mission categories, fee rates).
• Staking (Future): Users can stake DCT to receive additional interest rewards or gain priority access to higher-level missions.

Token Distribution