Data Scout

Data Scouts are crucial to the acquisition and expansion of high-quality datasets. Data scouts produce new data or find data and add it to a data set.

Scout Responsibilities

• Data Collection and Submission: Data Scouts identify, collect, and submit relevant, accurate, and high-quality data to fill existing gaps within the dataset.

• Data Scout Staking: To ensure the integrity of their contributions, Data Scouts stake 128 $SVN tokens for each data point submitted. This stake acts as a quality assurance measure, discouraging the submission of low-quality data. If the data is accepted into the data set their stake is returned. However, if the data is not accepted, the stake is given to the validator or curator who flagged it.

Scout Rewards

• Bonding Curve Mechanism: Data Scouts are rewarded the data set’s tokens through a bonding curve system, which offers higher rewards for early contributions that decrease as more data is added. This method aligns the rewards with the risks and efforts of early data collection, providing substantial initial incentives that gradually diminish as the dataset grows and stabilizes.

• Transparency and Fairness: The reward distribution is transparent, allowing Data Scouts to strategically plan their contributions based on clear, fair, and understandable rules.

• Encourages Early and Sustained Contributions: The incentive model is designed to motivate Data Scouts to provide valuable data early when it is most needed, and to continue contributing as the dataset grows.