DataSeer
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About
DataSeer is a scalable AI-powered platform designed to promote the sharing of research data. It uses AI and natural language processing to analyze scientific texts for data collection descriptions, offering best-practice advice for sharing datasets. Researchers can ensure their data sharing is compliant with policies, while journals and funders can discover and monitor compliance across multiple articles. It automates the enforcement of data sharing policies, making the process efficient and effective. With a foundation provided by the Sloan Foundation, DataSeer’s development focuses on operational simplicity while aiding researchers and stakeholders in navigating the complexities of data sharing.
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Task
Features
• open-source project
• automated policy enforcement
• ai-driven analysis of scientific texts
• best-practice advice for data sharing
• compliance monitoring for research stakeholders
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