Proto-OKN Theme 1: Connecting Biomedical information on Earth and in Space via the SPOKE knowledge graph

该项目旨在将可扩展精密医学开放知识引擎（SPOKE）知识图谱与NASA的GeneLab平台连接起来，并将健康的社会决定因素（SDOH）数据纳入SPOKE。SPOKE包括从43个数据库中收集的3500万个节点和7000万个边，并在11个本体上结构化。SPOKE将扩大到包括空间生物学和医学领域，促进知识的双向翻译和确定有价值的类似物，以支持人类多行星殖民的进步。SPOKE与GeneLab和SDOH数据的集成提供了广泛数据集的全面分析，为研究人员提供了无与伦比的多物种生物信息。这种方法可以识别共同模式，探索新的基因-药物相互作用，以及研究与空间相关的应激对基因表达和分子途径的影响。它将促进我们对空间生物学的理解，并更广泛地丰富遗传学和基因组学研究。GeneLab实验数据的整合包括创建一个计算模型，以了解宇航员在太空中面临的挑战。这涉及使用GeneLab的组学数据和SPOKE跨空间和时间连接数据的能力，以制定有效的对策。该项目还涉及了解和解决SDOH在医疗条件管理方面的问题。通过分析去识别的电子健康记录数据，研究人员可以设计干预措施，以促进宇航员在长途太空旅行中的健康，并为太空任务开发公平的医疗保健系统。该项目将增进我们对健康不平等的理解，促进科学界的多样性、公平性和包容性，并提供教育机会，鼓励STEM职业。该项目还将强调伦理考虑和隐私保护，同时促进合作，加速科学进步，以产生更大的社会影响。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This project aims to link the Scalable Precision Medicine Open Knowledge Engine (SPOKE) knowledge graph with NASA’s GeneLab platform and incorporate social determinants of health (SDOH) data into SPOKE. SPOKE includes 35 million nodes and 70 million edges gathered from 43 databases and structured on 11 ontologies. SPOKE will expand to include the fields of space biology and medicine, facilitating a two-way translation of knowledge and the identification of valuable analogues to support the advancement of human multiplanetary colonization. SPOKE's integration with GeneLab and SDOH data provides comprehensive analysis of extensive datasets, offering researchers unparalleled access to multispecies biological information. This approach allows identification of common patterns, exploration of new gene-drug interactions, and study of space-related stress effects on gene expression and molecular pathways. It will advance our understanding of space biology and enrich genetics and genomics research more broadly.The integration of GeneLab experimental data involves creating a computational model to understand challenges astronauts face in space. This involves using GeneLab's omics data and SPOKE's ability to connect data across space and time to develop effective countermeasures. The project also involves understanding and addressing SDOH in managing medical conditions. By analyzing de-identified Electronic Health Record data, researchers can design interventions to promote crew well-being during long space travel and develop equitable healthcare systems for space missions. The project will enhance our understanding of health inequalities, promote diversity, equity, and inclusion within the scientific community, and provide educational opportunities, encouraging STEM careers. The project will also emphasize ethical considerations and privacy protection, while promoting collaboration and accelerating scientific progress for a larger societal impact.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.