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rewards/README.md
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---
description: An overview of Ocean Protocol's governance and incentives mechanisms
description: Learn how to generate OCEAN rewards by using our Data Farming dApp
cover: ../.gitbook/assets/cover/rewards.png
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---
# 💰 Rewards
veOCEAN is a fork of veCRV. This enables participants to become a governance delegate, and eligible to receive rewards and engage with different protocol mechanisms.
### Why did we create the Data Farming dApp?
The following docs provide you with sufficient intuition to access, utilize, and build upon the protocol's core incentive and reward system: Data Farming.
The purpose of Ocean Protocol's Data Farming dApp reward system is to incentivize the curation and publishing of high-quality data NFTs on the Ocean Market. Data Farming participants earn OCEAN rewards for these activities. At a minimum, Data Farmers earn "passive rewards" for locking their OCEAN tokens to get veOCEAN tokens in return. Then, Data Farmers can maximize their yield by earning "active rewards" using their veOCEAN tokens. Active rewards are generated by participants voting on their favorite Ocean Market NFTs by allocating their veOCEAN to these assets, thus gaining a portion of these asset sales.
![DF Rewards Page](../.gitbook/assets/rewards/df\_rewards\_page.png)
### The belt system
Earn your white, blue, purple, brown, and black belts in Data Farming knowledge by reading our docs on this topic in increasing difficulty!
## veOCEAN
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You will learn that by just holding veOCEAN passively, you are able to rewards.
veOCEAN is a fork of veCRV. This enables participants to become a governance delegate, and eligible to receive rewards and engage with different protocol mechanisms.
## Data Farming
![DF Rewards Page](../.gitbook/assets/rewards/df\_rewards\_page.png)
[Data Farming 101](df-intro.md) introduces the different reward systems, how they work, and how to access them. By the end of the page, you should be more familiar with how Data Farming works and able to take next steps to curate assets.
[Data Farming Background](df-background.md) will provide you with more intuitions about Data Farming, briefly explain the Reward Function, and how the program evolved over time.