Proposes a three-tier data readiness framework (FAIR to AI-ready to space-ready) plus an international governance body to enable AI use of space biology data.
arXiv preprint arXiv:2505.18213 (2025)
2 Pith papers cite this work. Polarity classification is still indexing.
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SciHorizon-DataEVA is a multi-agent system that applies Sci-TQA2 principles across four dimensions to assess AI-readiness of heterogeneous scientific data via dynamic profiling and self-correcting evaluation workflows.
citing papers explorer
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Building AI-Ready Data Systems for Space Life Sciences, Aerospace Medicine, and Deep Space Exploration
Proposes a three-tier data readiness framework (FAIR to AI-ready to space-ready) plus an international governance body to enable AI use of space biology data.
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SciHorizon-DataEVA: An Agentic System for AI-Readiness Evaluation of Heterogeneous Scientific Data
SciHorizon-DataEVA is a multi-agent system that applies Sci-TQA2 principles across four dimensions to assess AI-readiness of heterogeneous scientific data via dynamic profiling and self-correcting evaluation workflows.