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stage-2-building.md

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Once you’ve scoped out your DLP, it’s time to start building.

Stage 2: Building

{% hint style="warning" %} Vana Testnet is for Testing Purposes Only

Ensure you create a different configuration for data validation on testnet versus mainnet. Data privacy cannot be guaranteed in testnet. {% endhint %}

{% hint style="info" %} You can follow the ChatGPT DLP tutorial for a step-by-step guide on creating a DLP. Skip 'Validator Setup' section as we sunsetted DLP Validators. {% endhint %}

Step 1: Build a UI for Data Contributors

Your DLP needs a user-friendly interface where contributors can upload, encrypt, and validate their data. You can choose from a range of options for building this UI — anything from a web app to a browser extension or mobile app. You can also use the open-source DLP UI template here or understand how it works here.

  • Key Feature: Ensure the UI has client-side encryption to maintain privacy and control for data contributors.
  • Tip: Ensure your users understand how to access that data source. For example, through a GDPR or CCPA data export request, through scraping their own data, or through an API.
  • Tip: You can skip this step. Some DLPs are using Chrome extensions or scrapers to contribute data without a separate UI.

{% hint style="info" %} Check out gptDataDAO and redditDataDAO as references. {% endhint %}

Step 2: Deploy the DLP Smart Contract

The core of every DLP is the fully customizable DLP Smart Contract. Register your DLP with the Root Network. This requires meeting a minimum staking threshold.

A DLP smart contract is responsible for rewarding data contributors DLP-specific tokens for their data. After proof-of-contribution is run, a score from 0-1 is given to the file, which can be used to determine how valuable the data is, and convert that to DLP-specific tokens.

  • Repo: You can use the audited smart contract templates from the Vana GitHub repo here. Follow first 12 steps to complete the deployment.

Step 3: Contact Vana team

Once a DLP Smart Contract is deployed to the Vana network, reach out to us and we will register this contract as a DLP. We will be manually approving DLP registration at the beginning of the testnet before moving to voting-based approval.

{% hint style="info" %} On the Mainnet this process will become permissionless. {% endhint %}

Step 4: Deploy the DLPT (DLP Token) Contract

Your DLP needs a token (e.g., $TDAT for Twitter data) to reward contributors and facilitate governance. Deploy DLPT (DLP Token) contract for your DLP using OpenZeppelin’s modules for minting permissions and voting rights. It leverages OpenZeppelin's ERC20, ERC20Permit, ERC20Votes, and Ownable modules for extended functionality.

Step 5: Implement Proof-of-Contribution

A critical piece of your DLP is the proof-of-contribution function, which validates the quality of the submitted data and can be used to reward fungible DLP-specific tokens. You can customize this function to meet the needs of your specific DLP. Use the proof-of-contribution template provided here as a starting point.

  • Data validation and value depends on the data source.
  • Once decided, implement your incentives and validation checks.
  • We recommend rolling this out iteratively in phases to test the incentives.

DLPs have the flexibility to validate data according to their unique requirements.

  • Meaningfulness: The data should contribute novel and valuable insights to the DLP's overall dataset. It should enhance the richness and diversity of the available information.
  • Validity: The data must adhere to a schema that is consistent with the existing data within the DLP. Conforming to a standardized structure ensures compatibility and facilitates efficient data processing.
  • Authenticity and Contributor's rights: The data must be genuine and, if required, originate from a legitimate account. This ensures the integrity and reliability of the information. The data contributor submitting the data must have the necessary rights and permissions to do so.

{% hint style="info" %} See the ChatGPT DLP for a detailed example of proof-of-contribution

If using Satya validators, use this proof-of-contribution template as a starting point. Attestation schema is here. {% endhint %}

Step 6: Connect to Satya for Proof Validation [Optional]

Connect your DLP’s UI and backend to the Satya network, which will handle data validation through decentralized validators. This ensures your proof-of-contribution mechanism runs efficiently and securely. You can read the whole integration guide in the Data Validation section. You can also implement your own client-side ZK Proof or run the proof-of-contribution function on your own infrastructure, even non-TEE.