IN024
Open Science for Life in Space: Data Sharing and Tools for Knowledge Discovery
Session ID#: 161798
Session Description:
The next era in human space exploration is rapidly approaching. The use of health countermeasures and biomonitoring systems for space missions are required to counteract space health hazards and to support life to thrive in deep space (e.g., humans, animals, plants, crops; entire ecosystems within spacecrafts/habitats/spacesuits). The development of these mission components will be highly dependent on our understanding of basic biological and health responses to myriad space hazards (ionizing radiation, altered gravitational fields, altered day-night cycles, confined isolation, hostile-closed environments, distance-duration from Earth, planetary dust-regolith, and extreme temperatures/atmospheres). The fast-growing array of space biological and mission telemetry data, which in the past was simply archived after minimal analysis, holds great potential once applied to these mission challenges if it can be reorganized and formatted for Open Science. Organizing the data for such analysis is a challenge because of its multi-hierarchical, multi-modal, and heterogenous nature (molecular, cellular, tissue, organ, whole organism, behavior, ecosystem, microbiome; tabular, omics, imaging, video, biospecimen, environmental physical-chemical telemetry).
This session focuses on current approaches in this domain such as: making space biological data FAIR (findable, accessible, interoperable, reusable), effective data ingestion/dissemination, observational versus experimental data, Open Science collaborations, data analysis techniques, AI/ML/knowledge graph/modeling methods, and data integration/discovery tools.
Index Terms:
1904 Community standards [INFORMATICS]
1906 Computational models, algorithms [INFORMATICS]
1916 Data and information discovery [INFORMATICS]
1938 Knowledge representation and knowledge bases [INFORMATICS]
Primary Convener: Samrawit Gebre, NASA Ames Research Center, Moffett Field, CA, United States and BPS Open Science Data Repositories
Convener: Sylvain Costes, NASA ARC, Mountain View, CA, United States and BPS Open Science Data Repositories
An Overview of Data Processing to Prepare Artificial Intelligence-Ready Open Science Biological Datasets (1139525)
Anmol Seth1, Sonali Patel2, Lauren Sanders3, Adrienne Hoarfrost4, Connie Tsai2, Egle Vincent Cekanaviciute BPS5 and Sylvain Costes6, (1)Blue Marble Space Institute of Science, Seattle, United States, (2)NASA Ames Research Center, Moffett Field, United States, (3)NASA Ames, Mountain View, CA, United States, (4)NASA Ames Research Center, NASA Postdoctoral Program, Moffett Field, United States, (5)NASA Ames Research Center, Mountain View, United States, (6)NASA ARC, Mountain View, CA, United States
Space Flown Rodent Liver RNA Sequencing Data for Machine Learning in Space Biology Research (1180341)
James Casaletto1, Iksha Gurung2, Muthukumaran Ramasubramanian2, Lauren Sanders3, Manil Maskey4 and Sylvain Costes5, (1)NASA Ames Research Center, Moffett Field, CA, United States, (2)University of Alabama in Huntsville, Huntsville, AL, United States, (3)NASA Ames, Mountain View, CA, United States, (4)NASA, Huntsville, United States, (5)NASA ARC, Mountain View, CA, United States
Access and Visualization of Spaceflight Environmental-Telemetry Data for Biological Science (1183070)
Danielle K. Lopez1, Ryan Scott2, Ana Uriarte Acuna3, Samrawit Gebre4, Sylvain Costes5 and Jamie Bales3, (1)KBR; NASA Ames Life Sciences Data Archive, San Jose, United States, (2)KBR; NASA Ames Life Sciences Data Archive, Moffett Field, United States, (3)NASA Ames Research Center, Moffett Field, United States, (4)NASA Ames Research Center, Moffett Field, CA, United States, (5)NASA ARC, Mountain View, CA, United States
Enabling Space Biological Knowledge Discovery Through Image and Video Data Sharing (1188801)
Ryan Scott, KBR; NASA Ames Life Sciences Data Archive, Moffett Field, United States, Danielle K. Lopez, KBR; NASA Ames Life Sciences Data Archive, San Jose, United States, Josh Moore, University of Dundee, Dundee, United Kingdom, Saswati Das, Atal Bihari Vajpayee Institute of Medical Sciences and Dr. Ram Manohar Lohia Hospital, New Delhi, India, Nathaniel J. Szewczyk, Ohio University, Athens, United States, Samrawit Gebre, NASA Ames Research Center, Moffett Field, CA, United States and Sylvain Costes, NASA ARC, Mountain View, CA, United States
Increasing accessibility to deep learning-based analytics for space biology: pretrained models, transfer learning, and analytics platform development (1197707)
Adrienne Hoarfrost, NASA Ames Research Center, NASA Postdoctoral Program, Moffett Field, United States; University of Georgia, Marine Sciences, Athens, United States, Lauren Sanders, NASA Ames, Mountain View, CA, United States and Sylvain Costes, NASA ARC, Mountain View, CA, United States
