Gebre Samrawit G, Scott Ryan T, Saravia-Butler Amanda M, Lopez Danielle K, Sanders Lauren M, Costes Sylvain V
Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA 94035, USA.
KBR, Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA 94035, USA.
Nucleic Acids Res. 2025 Jan 6;53(D1):D1697-D1710. doi: 10.1093/nar/gkae1116.
Space biology and health data are critical for the success of deep space missions and sustainable human presence off-world. At the core of effectively managing biomedical risks is the commitment to open science principles, which ensure that data are findable, accessible, interoperable, reusable, reproducible and maximally open. The 2021 integration of the Ames Life Sciences Data Archive with GeneLab to establish the NASA Open Science Data Repository significantly enhanced access to a wide range of life sciences, biomedical-clinical and mission telemetry data alongside existing 'omics data from GeneLab. This paper describes the new database, its architecture and new data streams supporting diverse data types and enhancing data submission, retrieval and analysis. Features include the biological data management environment for improved data submission, a new user interface, controlled data access, an enhanced API and comprehensive public visualization tools for environmental telemetry, radiation dosimetry data and 'omics analyses. By fostering global collaboration through its analysis working groups and training programs, the open science data repository promotes widespread engagement in space biology, ensuring transparency and inclusivity in research. It supports the global scientific community in advancing our understanding of spaceflight's impact on biological systems, ensuring humans will thrive in future deep space missions.
空间生物学和健康数据对于深空任务的成功以及人类在地球以外的可持续存在至关重要。有效管理生物医学风险的核心是对开放科学原则的承诺，这些原则确保数据是可查找、可访问、可互操作、可重复使用、可再现且最大限度开放的。2021年艾姆斯生命科学数据存档与基因实验室整合，建立了美国国家航空航天局开放科学数据存储库，显著增强了对广泛的生命科学、生物医学临床和任务遥测数据以及基因实验室现有“组学”数据的访问。本文描述了新数据库、其架构以及支持多种数据类型并增强数据提交、检索和分析的新数据流。其功能包括用于改进数据提交的生物数据管理环境、新用户界面、受控数据访问、增强的应用程序编程接口以及用于环境遥测、辐射剂量测定数据和“组学”分析的综合公共可视化工具。通过其分析工作组和培训计划促进全球合作，开放科学数据存储库推动了空间生物学领域的广泛参与，确保了研究的透明度和包容性。它支持全球科学界加深我们对太空飞行对生物系统影响的理解，确保人类在未来的深空任务中蓬勃发展。
