Check out the OSDR Team at ASGSR 2024
The Open Science Data Repository team will be at ASGSR this year, so come check out our presentations. We’ve compiled this list to help you find your way amongst the breadth and depth of new insights that Open Science represents this year.
December 5
- Kris Peach: NASA Open Science Data Repository Enables Space Biomedical Research with Inspiration 4 and Model Organism Data, Standards, Pipelines, and Visualization – San Juan Ballroom, Enabling Technologies 1 (3:45 – 5:15 pm AST)
- Amanda Saravia-Butler: Data Generated by NASA GeneLab’s Sample Processing Laboratory Enables New Discoveries – Miramar, Investigator Poster Session (5:30 – 7:30 pm AST)
December 6
- Amanda Saravia-Butler: Enabling Open and Interoperable Science: Multi-Omics Data Processing Platform with NASA GeneLab Standardized Bioinformatics Workflows for Space and Earth Research – Laguna, Enabling Technologies 2 (2:00 – 3:30 pm AST)
- Sigrid Reinsch: The NASA Biological Institutional Scientific Collection (NBISC) and the Space Microbial Culture Collection (SMCC): Valuable Resources for Space Biology Research – San Felipe, Cross Disciplinary 2 (2:00 – 3:30 pm AST)
- Lauren Sanders: Developing Open-Source Training Materials for AI/ML and Space Biological Sciences Using NASA Cloud-Based Data – San Geronimo, Education 2 (4:30 – 6:00 pm AST)
December 7
- Amanda Saravia-Butler: GeneLab for Colleges and Universities (GL4U): On-Demand Bioinformatics Training Using Space Biology Omics Data – San Geronimo, Education 3 (8:00 – 9:30 am AST)
- Sara Golts (AI4LS SLSTP): Evaluating the efficacy of conditional variational autoencoders in generating synthetic single nuclei RNA-seq data for space biology research – Undergraduate/High School Poster Session (10:00 am – 12:00 pm AST)
- Sylvain Costes, Lauren Sanders, Walter Alvarado: Pioneering Open Science: Innovations and Future Directions in Biological and Physical Sciences – San Juan Ballroom, Lunchtime Panel (12:00 – 1:30 pm AST)
- Walter Alvarado: AI Curation Methods for NASA Scientific Data – Laguna 1, Enabling Technologies 4 (2:15 – 3:45 pm AST)
- Lauren Sanders: Characterization of female reproductive health risks for spaceflight using multi-modal data and machine learning – Laguna 2, Vertebrates 3 (2:15 – 3:45 pm AST)