Data Curator

Data Curators are central to launching, managing, and overseeing high-quality data projects. They combine leadership, in-depth knowledge of data, and a commitment to upholding scientific integrity and data reliability.

Curator Responsibilities

• Project Initiation: Curators identify unmet needs in the scientific community and initiate projects to address these gaps. They define the project’s goals and plan its implementation.

• Direction Setting: As the initial contributors, curators establish the framework for data collection and analysis. Their early decisions ensure that the project aligns with broader scientific goals.

• Quality and Integrity Oversight: Curators are tasked with maintaining high standards of data quality and integrity. They manage the validation processes to ensure all data meets strict criteria before it is included in the project.

• Initial Contribution of Data and Validators: Curators also play a critical role in the initial contribution of data and the recruitment of validators. They ensure that the first sets of data submitted set a high standard for quality and completeness. Additionally, curators work to engage skilled validators who can provide expert analysis and validation, contributing to the robustness of the data validation process.

• Final Adjudicator: Curators make crucial decisions on data acceptance and handle disputes, ensuring compliance with guidelines and maintaining the dataset’s credibility.

• Community Engagement: Curators actively promote their projects to attract contributors and foster collaboration. They use effective communication and outreach to highlight the project’s importance and potential benefits.

Curator Rewards

To recognize their critical role and to incentivize sustained engagement, curators receive 20% of the dataset's tokens once it reaches the Minimum Viable Data (MVD) threshold. This reward not only compensates them for their effort but also aligns their ongoing involvement with the success and growth of the dataset.

Additionally, when validators are unable to determine if the data should be accepted or rejected, the curator receives 10% of the pool. This ensures that curators are adequately compensated for their decisive role in maintaining the dataset's integrity.