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Citizen Scientists Use NASA Open Science Data to Research Life in Space
How can life thrive in deep space? The Open Science Data Repository Analysis Working Groups invite volunteers from all backgrounds to help answer this question. Request to join these citizen science groups to help investigate how life adapts to space environments, exploring topics like radiation effects, microgravity’s impact on human and plant health, and how microbes change in orbit.
Currently, nine Analysis Working Groups (AWGs) hold monthly meetings to advance their specific focus areas. Participants collaborate using an online platform, the AWG “Forum-Space”, where they connect with peers and experts, join discussions, and contribute to over 20 active projects.
The AWGs work with data primarily from the NASA Open Science Data Repository (OSDR), a treasure trove of spaceflight data on physiology, molecular biology, bioimaging, and much more. For newcomers, there are tutorials and a comprehensive paper covering all aspects of the repository and the AWG community. You can explore 500+ studies, an omics multi-study visualization portal, the environmental data app, and RadLab, a portal for radiation telemetry data. (“Omics” refers to fields of biology that end in “omics,” like “genomics”.)
Each of the nine AWGs has a Lead who organizes their group and holds monthly virtual meetings. Once you join, make sure to connect with the Lead and get on the agenda so you can introduce yourself. Learn more about the AWGs here.
Have an idea for a new project? Propose a new project and help lead it! From data analysis and visualization to shaping data standards and conducting literature meta-analyses, there’s a place for everyone to contribute. Request to join, and together, we can address a great challenge for humanity: understanding and enabling life to thrive in deep space!
Want to learn more?
On April 17 at 3pm Eastern Time, the NASA Citizen Science Leaders Series is hosting an virtual event with Ryan Scott about these Analysis Working Groups and their work. Ryan is the Science Lead for the Ames Life Sciences Data Archive and the liaison between the Open Data Science Repository and the Analysis Working Groups. Click here to register for this event!
